Role Description The AI Product Manager will own our AI product strategy and help us identify and execute the biggest AI opportunities across our products and operations. This is a high-impact, cross-functional role sitting at the intersection of product, data, and engineering. This position will work closely with engineering, data, design, and operations teams to define what we build, validate that it creates real value, and ship features that leverage AI in meaningful, responsible ways. This role will also serve as an internal advocate for AI — helping stakeholders across the company understand where AI can move the needle. Key Responsibilities - AI Strategy & Opportunity Identification: - Conduct structured discovery across our product lines and internal operations to identify the highest-leverage AI opportunities. - Build and maintain an AI roadmap, prioritizing initiatives by impact, feasibility, and alignment with company strategy. - Evaluate emerging AI capabilities (LLMs, generative AI tools, AI APIs) and assess their relevance to our products and users. - Partner with leadership to define a coherent AI vision and communicate it clearly to the organization. - AI Product Execution: - Define clear success metrics for AI products, including accuracy, latency, user adoption, and downstream business impact. - Own the full product lifecycle for AI features — from discovery and scoping through launch and iteration. - Work hands-on with engineering teams to manage trade-offs, write specs, and unblock delivery. - Build safeguards and feedback loops to catch bad AI outputs, edge cases, and misuse in production. - Lead post-launch reviews to drive continuous improvement of AI features. - Data Analysis & Insights: - Analyze product and behavioral data to identify opportunities, validate hypotheses, and measure outcomes. - Translate ambiguous signals (flat DAUs, rising support tickets, usage drop-offs) into clear diagnostic frameworks and action plans. - Work comfortably with SQL, BI tools, and data analysts to pull and interpret data independently when needed. - Design experiments and A/B tests to validate AI feature changes rigorously. - Data Platform Partnership: - Collaborate with data engineering teams to understand data availability, pipeline readiness, and infra constraints. - Incorporate data platform considerations into roadmap planning and feature design. - Serve as the product voice in discussions about data architecture and the data signals that power AI features. - Cross-functional Leadership: - Build alignment across engineering, design, operations, legal, and leadership on AI priorities and timelines. - Proactively identify and resolve organizational friction that slows down AI initiatives. - Communicate clearly about AI product decisions — what we're building, why, and what tradeoffs we're making. - Perform additional tasks as needed to support the success of the company. Qualifications - 3+ years of experience in product management or a related field. - 2+ years shipping AI-powered products. - Demonstrated ability to identify and validate new product opportunities, especially in AI domains. - Strong data analysis skills — comfortable writing SQL, working with BI tools (Looker, Tableau, Metabase, etc.), and running analyses independently. - Experience partnering with data engineering and data science teams to ship data-intensive products. - Excellent written and verbal communication and able to explain complex AI concepts to non-technical stakeholders. - Track record of driving cross-functional alignment on ambiguous, high-stakes initiatives. Preferred Qualifications - BS or BA in Computer Science or related field or equivalent experience. - Experience building LLM-powered products or GenAI features using third-party AI APIs (e.g., prompt engineering, RAG, output evaluation). - Working knowledge of data platforms and tooling (e.g., Snowflake, dbt, Databricks, Airflow, or equivalents). - Familiarity with AI quality frameworks — how to evaluate AI output quality, set up evals, monitor for regressions, and manage hallucination risks. - Hands-on experience with Python for data exploration or lightweight analysis. - Experience in a company that operates both a user-facing product and internal operational workflows. - Background in or exposure to responsible AI practices — fairness, explainability, user trust. Special Requirements - Willingness to travel as required. - Prolonged periods sitting at a desk and working on a computer. - Must be proficient in the English language, both written and verbal. - Ability to lift 15 pounds. Benefits

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: The Practice Architect I (PA I) – AI/ML position is a leadership role responsible for managing multiple consulting and delivery projects and account teams/programs, with a defined focus on machine learning and artificial intelligence solutions. The Practice Architect I provides consulting leadership and delivery assurance for clients across a range of internal and externa l functions, including Consulting, Account Interaction, Service Delivery, and Practice Delivery. In addition to traditional consulting and delivery management responsibilities, this role requires hands-on and architectural experience across the AI/ML lifecycle, including building machine learning models, operationalizing them at scale in production environments through MLOps practices, and supporting ongoing model performance, governance, and reliability. Experience with Generative AI technologies and the design and implementation of Agentic AI workflows is essential, with an expectation of at least 1–2 years of direct experience delivering GenAI and agent-based solutions in real-world environments. The position of Practice Architect I is distinguished from more senior Practice Architect roles by the nature and scale of engagements; deal sizes range from transactional solutions of less than $1M to multi-year outsourcing solutions exceeding $10M. As a first-level Practice Architect, the PA I is expected to possess the experience and background required to perform all core duties for AI/ML -focused consulting and delivery engagements. These duties include resource management, AI/ML solution and deliverables development, project planning and execution, adherence to contract attributes and costing, customer interaction, and other key aspects of solution-based managed services. Engagements will typically be delivered for North American clients, either remotely or at customer locations within North America. The PA I is expected to demonstrate sufficient depth to contribute to complex, large-scale, or fully outsourced AI/ML programs, collaborate effectively within cross-functional teams, and provide architectural and delivery input into broader programs. This role may require up to 50% travel. ESSENTIAL FUNCTIONS • Gain a clear understanding of customers’ business objectives, data landscape, and technical requirements for AI/ML and Generative AI solutions based on the agreed solution architecture and Statement of Work (SOW). • Understand, develop, and mature AI/ML and GenAI solution designs by collaborating with customers and internal stakeholders to manage expectations, resolve architectural, data, model, and delivery issues, and ensure alignment with production and scalability goals. • Facilitate internal communication and coordinate the assembly of cross-functional AI/ML delivery teams, including data science, MLOps, cloud engineering, security, practice support, and account team members for new engagements. • Consolidate and communicate delivery status, model readiness, MLOps maturity, and agreed costing information across project stakeholders to ensure transparency and alignment throughout the engagement lifecycle. • Ensure delivery escalation procedures are clearly defined, addressed, and communicated to clients, consultants, and management, particularly for risks related to data quality, model performance, GenAI behavior, infrastructure, and compliance. • Implement and oversee a knowledge management strategy for AI/ML engagements, ensuring effective knowledge transfer from sales and solutioning to delivery teams, including GenAI architectures, agentic workflows, and operational considerations. • Perform delivery risk and issue management across AI/ML and GenAI programs, proactively identifying risks related to data, models, infrastructure, governance, and security, and facilitating timely resolution with appropriate stakeholder communication. • Identify, manage, and coordinate delivery change control processes for AI/ML and Generative AI engagements, including changes related to data availability, model scope, infrastructure, MLOps pipelines, and evolving GenAI requirements. • Perform periodic AI/ML project and program analysis, including architecture reviews, model lifecycle assessments, MLOps and GenAI workflow health checks, in collaboration with practice and delivery resources. • Assess and enhance customer reference-ability by ensuring successful delivery of AI/ML and GenAI solutions and establishing trusted advisory relationships with customers and account team members. • Refine the AI/ML practice pipeline and product line attributes based on delivery metrics, adoption trends, model performance, and alignment with market demand, emerging GenAI capabilities, and agentic AI patterns. • Support the development and execution of Account Strategies by identifying AI/ML and Generative AI opportunities and collaborating with internal stakeholders to align technical capabilities with client business objectives. • Capture, develop, and refine AI/ML, MLOps, and Generative AI intellectual property (IP) derived from projects and programs, including reference architectures, accelerators, agentic AI patterns, and reusable assets for training and delivery. • Coordinate with subject matter experts to define and standardize best practices for AI/ML and GenAI delivery, including model development standards, MLOps practices, responsible AI considerations, and continuous delivery improvements. ADDITIONAL RESPONSIBILITIES • Understand and manage customer requirements (delivery and environmental factors) to ensure contract understanding and acceptance for deliverables, cost, contract type, timeline, risk and assumptions, and customer satisfaction. • Ensure delivery methodology is understood by team from project initiation to project closeout; sales/solution to delivery knowledge transfer. • Financial and contractual responsibility for engagement profitability. • Maintain awareness for additional business opportunities and support pursuit of future business through quality results and escalation to internal stakeholders when additional business opportunities may present themselves. • Ensure delivery management methodology is followed on all client opportunities. • Mentor, manage and develop product/project team members. Team size varies from 3 team members up to 8-10 team members. • Conduct annual reviews and provide feedback throughout the year on employee performance where required. • Ensure Human Resources policies and procedures are communicated and executed according to internal and consultant HR policies. QUALIFICATIONS Education Level Details Req Pref Bachelor's Degree or equivalent, relevant experience Skills and Abilities • Strong conceptual and analytical skills, demonstrating out-of-the-box problem solving, including the ability to apply AI/ML and Generative AI concepts to complex business and technical challenges • Proven ability to appropriately prioritize and plan complex work in a rapidly changing environment, particularly across AI/ML, MLOps, and GenAI initiatives with evolving requirements and dependencies. 3 This job description describes the general nature and level of work required by the position. It is not intended to be an all-inclusive list of qualifications, skills, duties, responsibilities or working conditions of the job. The job description is subjec t to change with or without notice, and Management reserves the right to add, modify or remove any qualification or duty. Nothing in this job description changes the existing at-will employment relationship between the Company and the employee occupying the position. Skills and Abilities • Demonstrated experience designing, evaluating, and guiding Generative AI solutions, including large language model (LLM) use cases, prompt engineering strategies, retrieval-augmented generation (RAG), and agentic or multi-step AI workflows. • Ability to collaborate with machine learning, engineering, cloud, security, and business stakeholders to translate GenAI capabilities into scalable, production-ready solutions. • Team player with experience leading and collaborating across teams to deliver successful solutions, including cross-functional AI/ML and GenAI delivery teams. • Excellent oral and written communication skills (English language), with the ability to explain GenAI and ML concepts to both technical and non-technical audiences, including executives. • Superior people and personnel management skills, including mentoring teams working on AI/ML, MLOps, and Generative AI solutions, and fostering best practices and delivery excellence. Licenses and Certifications License/Certification Name Details Time Frame Req Pref Relevant certifications in the subject matter area(s) Travel Requirements 50% Job Type & LocationThis is a Permanent position based out of Austin, TX. Pay and BenefitsThe pay range for this position is $136000.00 - $204000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: • Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 3, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We’re hiring an AI Engineer to design and build the agent layer of our platform, enabling a member-facing AI assistant to use tools, navigate multi-step tasks, and handle complex member journeys (benefits, claims, prior auth guidance, provider search, and more). In this role you’ll define agent patterns, implement orchestration and guardrails, and partner with product and domain teams to deliver high-impact capabilities that reduce friction and improve the member experience. To do that, you’ll need: - Experience building agentic systems (tool use, planning, routing, memory) with modern frameworks - Strong software engineering fundamentals (Python), APIs, eventing/orchestration patterns - Proven ability to implement guardrails: policy constraints, safe actions, auditability, and fallbacks If you’re inspired by our mission – peace of mind through better health – and energized by this work, we’d love to hear from you. Note: - This is a fully remote role, but onsite interviews at our Chattanooga, TN headquarters may be required. - Sponsorship is not available for this role. Job Responsibilities - Ideate, develop and productionalize AI solutions for healthcare payer use cases. - Design and implement state-of-the-art AI models and algorithms using Python and GCP Vertex AI. - Collaborate with product teams to identify opportunities for applying AI techniques to solve business challenges and automate processes. - Conduct research and stay up to date with the latest advancements in AI, continuously improving our techniques and methodologies. - Develop scalable and efficient code base for deploying AI models into production environments. - Work closely with our internal Lines-of-Businesses to understand their needs, gather requirements, and translate them into actionable insights and solutions. - Lead the evaluation and validation of AI models, ensuring their accuracy, reliability, and performance meet business requirements. - Communicate findings, results, and recommendations to technical and non-technical stakeholders through presentations, reports, and documentation. Job Qualifications Education - Master's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master’s and/or PhD degree a plus. Experience - 3 years of relevant work experience in analytics, technology, or healthcare (academic experience included), or related equivalent experience. - 1 year experience with machine learning or advanced statistical methods is required. - Experience handling large datasets to build data science pipelines. - Experience with Machine Learning, Deep Learning, Pytorch, Natural Language Processing. Skills\Certifications - Proficient in Python - Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint) - Proven analysis, design, and coding skills, and demonstrated success in leading large and complex projects - Demonstrated ability to interpret and translate technical and/or or complex concepts into information meaningful to project team members and/or business personnel - Leadership skills - Must be able to communicate effectively with both technical and non-technical co-workers - Be organized, reliable, and able to manage multiple tasks with exceptional work ethic. Number of Openings Available 1 Worker Type: Employee Company: BCBST BlueCross BlueShield of Tennessee, Inc. Applying for this job indicates your acknowledgement and understanding of the following statements: BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law. Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page: BCBST's EEO Policies/Notices BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous physics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.