Job ID- 416510
Job Title - AI Engineer
Skill - Artificial Intelligence
Skill Type - Marketable
Minimum Experience - 8 - 12 Years
Location - Phoenix, AZ
Role - AI Engineer : Typescript and Python, Gen AI, Agentic AI
Experience Required - 6+ Years
Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists, business stakeholders, and cloud teams to build production-grade AI systems.
Must Have Technical/Functional Skills
• 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
• Experience working on Typescript and Python, Gen AI, Agentic AI
• Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
• Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases
• Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Fluency with AI-assisted and agentic development workflows.
• Ability to influence technical direction and align teams without formal authority.
• Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders
Roles & Responsibilities
• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
• Design, build, and operate production-grade agentic AI systems used across multiple products.
• Own and evolve shared agentic AI capabilities, including:
• Design and Develop Agent frameworks and orchestration layers
• Planning, tool use, and memory strategies
• Design Retrieval and grounding (RAG) pipelines
• LLM infrastructure, inference, and model gateways
• Evaluation, observability, and safety tooling for autonomous systems
• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
• Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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