At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Build AI that matters. At Accenture Federal Services (AFS), we turn GenAI from demos into operational capabilities that millions rely on. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community that invests in your growth through hands‑on experience, certifications, and industry training. We ship in weeks, not quarters, and measure success by latency, reliability, safety, and cost. Confidentiality matters: We don’t disclose program details on public postings. If you advance, we’ll share specifics as appropriate during the process. Role Overview - Operationalize LLM/RAG: Stand up and harden AI services (cloud or on‑prem) that ground responses in mission data with low hallucination rates. - Guardrails & governance: Implement prompt/version management, policy‑based filtering, role‑based access, audit trails, and safety checks aligned to federal guidelines. - Observability & SRE for AI: Define SLIs/SLOs (quality, latency, safety, cost), instrument metrics, run on‑call, lead postmortems, and reduce MTTR. - Performance & cost engineering: Optimize p95 latency with caching/batching/autoscaling; meter usage and apply FinOps to keep token/spend within targets. - Reusable platform components: Ship SDKs, CI/CD templates, and Terraform/IaC modules that accelerate multiple mission teams not one‑off projects. - Applied theory (where it matters): Use IR metrics (e.g., NDCG) to improve retrieval quality; apply queueing/control principles to hit latency SLOs; run offline/online evals for helpfulness, safety, and factuality. What you won’t do: Train or invent new foundation models; deliver academic research. Your focus is making best‑in‑class models work flawlessly in production. You’ll Thrive Here If You - Own production systems end‑to‑end: Integration → deployment → observability → incident response. - Are strong in Python - Have experience with retrieval/vector search (e.g., pgvector/Milvus/OpenSearch) and grounding AI in enterprise data. - Think in SLOs and dashboards; you improve reliability, latency, safety, and cost with data. - Communicate clearly with engineers, PMs, and security stakeholders especially in compliance‑heavy environments. - Must be a US Citizen Nice to Have - Experience integrating leading cloud AI services or on‑prem inference stacks Background in evaluation/safety testing or A/B experimentation for AI experiences. - FinOps for AI: metering, budgets, and optimization strategies for usage and spend. - Prior work in regulated/secure environments (e.g., FedRAMP‑like controls, ATO processes) with fast shipping. - Contributions to internal frameworks or open‑source tooling; mentorship of engineers. - Advanced degree welcome but not required high‑impact delivery matters most. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $100,200—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Build AI that matters. At Accenture Federal Services (AFS), we turn GenAI from demos into operational capabilities that millions rely on. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community that invests in your growth through hands‑on experience, certifications, and industry training. We ship in weeks, not quarters, and measure success by latency, reliability, safety, and cost. Confidentiality matters: We don’t disclose program details on public postings. If you advance, we’ll share specifics as appropriate during the process. Role Overview - Operationalize LLM/RAG: Stand up and harden AI services (cloud or on‑prem) that ground responses in mission data with low hallucination rates. - Guardrails & governance: Implement prompt/version management, policy‑based filtering, role‑based access, audit trails, and safety checks aligned to federal guidelines. - Observability & SRE for AI: Define SLIs/SLOs (quality, latency, safety, cost), instrument metrics, run on‑call, lead postmortems, and reduce MTTR. - Performance & cost engineering: Optimize p95 latency with caching/batching/autoscaling; meter usage and apply FinOps to keep token/spend within targets. - Reusable platform components: Ship SDKs, CI/CD templates, and Terraform/IaC modules that accelerate multiple mission teams not one‑off projects. - Applied theory (where it matters): Use IR metrics (e.g., NDCG) to improve retrieval quality; apply queueing/control principles to hit latency SLOs; run offline/online evals for helpfulness, safety, and factuality. What you won’t do: Train or invent new foundation models; deliver academic research. Your focus is making best‑in‑class models work flawlessly in production. You’ll Thrive Here If You - Own production systems end‑to‑end: Integration → deployment → observability → incident response. - Are strong in Python - Have experience with retrieval/vector search (e.g., pgvector/Milvus/OpenSearch) and grounding AI in enterprise data. - Think in SLOs and dashboards; you improve reliability, latency, safety, and cost with data. - Communicate clearly with engineers, PMs, and security stakeholders especially in compliance‑heavy environments. - Must be a US Citizen Nice to Have - Experience integrating leading cloud AI services or on‑prem inference stacks Background in evaluation/safety testing or A/B experimentation for AI experiences. - FinOps for AI: metering, budgets, and optimization strategies for usage and spend. - Prior work in regulated/secure environments (e.g., FedRAMP‑like controls, ATO processes) with fast shipping. - Contributions to internal frameworks or open‑source tooling; mentorship of engineers. - Advanced degree welcome but not required high‑impact delivery matters most. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $100,200—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

About the Team The Performance Excellence team is redefining how DoorDash measures quality—moving from manual sampling to intelligent systems that evaluate every customer interaction. Our vision is to build an automated QA program that scales across every part of the business, including high-impact domains like Fraud, Integrity, and Risk. We build systems that surface actionable insights, improve performance, and protect the customer experience. About the Role As an Associate, QA Platform & Analytics, you will play a critical role in managing and evolving our QA platforms (e.g., AutoQA, ObserveAI) while driving the analytics that power decision-making across Customer Experience. This role sits at the intersection of platform operations, data analytics, and emerging ML-enabled QA systems. You will be responsible for ensuring our QA tools operate effectively, insights are accurate and actionable, and stakeholders have visibility into performance at the lowest level of detail. You’ll partner closely with Product, Analytics, Machine Learning, and Operations teams to optimize QA systems, build scalable reporting, and support the rollout of new automated quality signals. You’ll report to the Associate Manager, Quality Data Infrastructure & Platform Management within the Customer Experience organization You’re excited about this opportunity because you will… Own QA platform operations and performance - Manage day-to-day performance of QA platforms (e.g., ObserveAI, AutoQA systems) - Monitor signal health (precision, false positives, coverage) and identify gaps - Partner with Product/ML to improve system performance and reliability Build and scale QA analytics & reporting - Develop dashboards and reporting (Sigma, SQL) to track QA performance, adoption, and impact - Analyze large-scale interaction data to identify trends, root causes, and improvement opportunities - Enable stakeholders (Ops, Vendor, PxS) with clear, actionable insights Drive data-informed QA strategy - Translate business problems into structured analyses and hypotheses - Support development and validation of new QA signals (e.g., sentiment, resolution, adherence) - Contribute to roadmap planning with data-backed recommendations Support ML-enabled QA systems - Partner with ML and Product teams to evaluate model outputs and performance - Assist in testing, calibration, and rollout of automated QA signals - Help define success metrics and guardrails for production deployment Improve operational workflows and scalability - Build frameworks, documentation, and processes to support platform adoption - Identify automation opportunities to reduce manual QA effort and increase coverage - Ensure QA insights are embedded into coaching, scorecards, and business processes We’re excited about you because… - You have 1–4 years of experience in analytics, strategy & operations, program management, or a related field - You have strong SQL skills and experience working with data tools (e.g., Sigma, Mode, Looker, etc.) - You are comfortable working with large datasets to generate insights and drive decisions - You have experience supporting or operating technical platforms or tools in a business environment - You are a structured thinker who can break down ambiguous problems and operate at the lowest level of detail - You are a clear communicator who can translate data into actionable recommendations for stakeholders - You thrive in fast-paced environments and can manage multiple workstreams with precision Nice to have: - Exposure to machine learning or AI-powered tools (e.g., LLMs, NLP systems, AutoQA platforms) - Experience working with customer support data, QA programs, or operational performance metrics - Familiarity with experimentation, model evaluation, or data validation methodologies We expect this position to be filled by 5/31/26. Compensation Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: - For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. - For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $64,600—$95,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection.

• AWS and Databricks administration • Configure and manage core AWS services • Work with Data Scientists to manage Databricks environment in conjunction with Data Engineering AWS environment • Implement security best practices, network segmentation, and secrets management • Own relationships with external vendors • Support development and maintenance of data pipelines (Python/Spark/SQL/API Gateway/EC2/DynamoDB/Glue), data quality checks, and documentation. • Contribute to code reviews and standards. • Design, build, and maintain IaC with Terraform for AWS and Databricks (modules, workspaces, remote state, CI/CD) • Standardize and templatize environment provisioning across dev/prod • Establish tagging, budgets, and chargeback/showback; rightsized compute, storage, and job configurations • Manage Savings Plans/Reserved Instances, Spot strategies, storage lifecycle policies. • Work closely with data engineers, data scientists, and stakeholders to unblock deliverables • Document designs, standards, and operational practices to enable a small team to move quickly and safely