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. 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, inclusive community with handson growth, certifications, and industry training. We ship in weeks, not quarters, and measure success with latency, reliability, safety, and cost.   Confidentiality matters: We don’t disclose program details publicly. If you advance, we’ll share specifics during the process.   Role Overview You’ll turn mission needs into secure, reliable, and scalable GenAI applications no model training required. This is a hands-on role across agentic workflows, RAG, prompt/policy design, LLM evaluation, and platform integration. You’ll own the end-to-end path from use case evaluation → production deployment → operational excellence, partnering with product, security, data, and SRE to ship features safely and at scale.   What You’ll Do (Day to Day) - Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost. - Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies. - Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma). - LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. - RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise. - Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails. - SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend. - Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects. - Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.   You'll Thrive Here If you have - End-to-end ownership of production systems: integration → deployment → observability → incident response. - Hands-on experience with LLMs, transformer based apps, and RAG in production. - Strong Python - Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data. - U.S. Citizenship   Nice to Have - Integration with leading cloud AI services or on prem inference stacks - Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops. - Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance. - Experience implementing tool using agents for API integration and external data access. - Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell). - Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping. - Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude). - Contributions to internal frameworks or opensource; mentorship of engineers. - Clear communication with engineers, PMs, and security/compliance stakeholders. 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: $103,200—$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.

• Diseñar e implementar integraciones entre Snowflake y los distintos agentes de IA. • Parametrizar flujos de datos y modelos semánticos consumidos por soluciones GenAI. • Colaborar en la definición de la arquitectura de gobernanza de datos e IA. • Unificar y normalizar información procedente de múltiples fuentes internas (documentación, sistemas departamentales, herramientas propias). • Desarrollar e integrar módulos de web scraping para la captura de información externa y su enriquecimiento en modelos analíticos o grafos. • Participar en análisis avanzados: estructurado, semántico, predictivo y contextual, según el tipo de dato. • Trabajar de forma coordinada con equipos de data, IA y plataforma.

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world. Job Description Summary Legal Reports is the squad responsible for generating and operating regulatory banking reports for supervisory authorities such as the Central Bank of Brazil, the Federal Revenue Service, and international regulators. We work heavily with data engineering and backend development, using Golang as our primary programming language, extensive use of SQL, and distributed processing with Spark/Databricks, as well as Trino/Superset. Our infrastructure is based on AWS, leveraging services such as S3, Lambda, Kubernetes, and Glue. Platform observability is handled through Honeycomb and Grafana, integrated with OpsGenie, ensuring end‑to‑end visibility. What you'll do: - Development and maintenance of scalable and reliable services, primarily using Golang and other JVM-related or cloud-native technologies, with deployment on AWS. - Own the development of efficient, readable, testable, and well-documented code aligned with the squad’s technical direction and business goals. - Actively participate in all stages of the software development lifecycle, including technical planning, system design, hands-on coding, testing, deployment, and production support. - Lead the design and execution of robust testing strategies, ensuring high coverage of business logic and reliability across distributed systems. - Proactively contribute to the growth of other engineers through code reviews, mentoring, knowledge sharing, and by fostering engineering excellence within the squad. - Ensure system stability, performance, and reliability through proactive monitoring, observability practices, incident response, and participation in on-call rotations. - Execute and maintain infrastructure as code using Terraform, creating and managing AWS resources as needed. - Collaborate closely with product and cross-functional teams, participating in technical analysis to translate product requirements into high-quality technical solutions. - Monitor applications using logs, metrics, and tracing tools, identifying and resolving issues in distributed systems environments. - Consistently contribute to technical decisions related to system design, scalability, performance, technical debt, and cloud cost efficiency. - Keep up with emerging technology trends and contribute insights to squad-level and collective-level technical discussions. - Be recognized for delivering high-quality, impactful technical solutions within the team and across collectives. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. #LI-Remote Qualifications For this role, you must be based in Brazil Language Skills Proficiency in English at B1 level or above (Intermediate). Technical Skills - 5+ years of experience as a Software Engineer, with proven experience working in production environments. - Strong experience with Golang and adaptability to other languages and ecosystems. - Advanced Git usage, including resolving complex version control and collaboration challenges. - Strong expertise in debugging and troubleshooting across distributed systems. - Proven experience conducting thorough code reviews with a focus on quality, performance, and cross-domain impact. - Solid testing expertise, including unit, integration, performance, and end-to-end tests in distributed systems. - Experience designing and documenting APIs using tools such as Swagger/OpenAPI, flow diagrams, and technical documentation to support DEVEX and external consumers. - Strong understanding of microservices architecture, including scalability, performance tuning, and cross-team governance. - Proficiency with AWS services such as SQS, SNS, S3, and Lambda, building cloud-native and event-driven architectures. - Experience with Infrastructure as Code and deployment pipelines using tools such as Terraform, ArgoCD, Jenkins, Codefresh, or similar. - Advanced usage of Docker and Kubernetes in production environments. - Strong knowledge of relational databases (MySQL/PostgreSQL) and data modeling, with familiarity in non-relational data strategies. - Understanding of CI/CD pipelines, GitOps practices, and observability concepts including monitoring, logging, tracing, and alerting. Preferred Qualifications - Experience working with critical, mission‑critical systems. - Familiarity with cloud cost optimization strategies and application performance profiling. - Experience with observability tools such as Grafana, Honeycomb, or similar platforms. - AWS certifications. - Experience using AI-assisted development tools (e.g., Copilot, GPT, Claude) to improve development efficiency and quality. - 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. - Job Family Group: Engineering and Technology

• Own the architecture and delivery of production-grade LLM systems and classical ML solutions • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring) • Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate • Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), with a strong focus on system-level optimization (latency, cost, scalability, reliability) • Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow), leveraging deep understanding of the platform ecosystem • Implement evaluation frameworks to measure quality, hallucination, and performance • Productionize systems with proper CI/CD, monitoring, rollback, and versioning • Independently design AI solutions tailored to client problems, translating business needs into scalable architectures • Lead technical decisions in client engagements and actively contribute to pre-sales architecture discussions • Mentor team members and define GenAI and ML best practices.