AI Lead

Job Description Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a AI Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role:AI Lead Location: Hyderabad Experience:8-10 Years Work Mode: Hybrid Type: Contract to Hire Notice Period:Immediate Joiners Requirements Description: Role Overview The AI Lead owns technical architecture and delivery for the agentic pilot. This person selects the target use case with the client, architects the end-to-end agentic solution, sets the observability strategy, and turns pilot results into a repeatable sizing model. The AI Lead also directs identification and sequencing of the next wave of agentic candidate use cases. Key Responsibilities Lead selection and scoping of the target use case in partnership with client stakeholders and the Data Engineer Architect the end-to-end agentic pipeline, including orchestration (LangGraph), retrieval (RAG), and tool/API integration Define and stand up an architect-level agent observability strategy: tracing, evaluation harnesses, guardrail and drift monitoring Direct and review the work of the AI Engineers, Data Engineer, and QA Engineer across the pilot build Design the methodology for measuring FTE efficiency gained from the pilot, in collaboration with QA Translate pilot results into a reusable estimation model for sizing future BOWs of a similar project archetype Lead identification of 3-5 additional agentic candidate use cases and develop a recommended build roadmap and sequencing Present pilot outcomes, the estimation model, and the roadmap to client leadership Required Skills & Experience Deep expertise in LangChain / LangGraph and RAG architecture patterns Strong, hands-on Python for agentic application development Architect-level experience designing observability/monitoring for agentic or LLM-based systems Working knowledge of FastAPI for service/API layer design Prior experience scoping and delivering AI/agentic pilots in a consulting context Strong client-facing communication and executive presentation skills Benefits Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D. CEO Message: Click Here Clients Testimonial: Click Here