[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Phoenix, AZ # AI Engineer Phoenix, AZ $100,000 to $140,000 Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/416510J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AI Engineer ## Job description ### 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. ### Base Salary Range $100,000 to $140,000 Per Annum 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.