The Role
Leads the architecture and delivery of an agentic AI pilot, including use-case selection, LangGraph orchestration, RAG, API integration, observability, evaluation, guardrails, and drift monitoring. Directs AI, data, and QA engineers; measures efficiency gains; develops reusable estimation models; identifies future use cases; and presents results and roadmaps to client leadership.
Summary Generated by Built In
Job Description
Requirements
Benefits
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.
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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
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.
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Skills Required
- Deep expertise in LangChain and LangGraph
- Experience with RAG architecture patterns
- Strong hands-on Python experience for agentic application development
- Architect-level experience designing observability and monitoring for agentic or LLM-based systems
- Working knowledge of FastAPI for service and API layer design
- Experience scoping and delivering AI or agentic pilots in a consulting context
- Strong client-facing communication and executive presentation skills
- 8-10 years of experience
- Immediate availability to join
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The Company
What We Do
Alignity is a Talent Solutions company focused on revolutionizing talent acquisition, employer branding, and performance inspiration to help organizations achieve accelerated growth.
