What You Will Do

Experience Range - 15 Yrs +

- Architect and evolve the platform suite

- Design and refine the archetype-specific assurance lifecycles

- Keep the platforms LLM-agnostic and deployable on any client stack — on-prem, cloud or hybrid — as model-mixing and constant provider churn become the market norm.

- Own technical roadmap decisions for accelerators such as the Agentic Foundry (a 25-blueprint reference matrix) and the curated, swap-ready tooling ecosystem around each archetype.

Lead Evaluation-Driven Development

- Build and govern eval suites

— ground-truth Q&A; sets, LLM-as-judge rubrics, frozen baselines — that gate every release rather than validate it after the fact.

- Own trajectory grading, red/purple/blue-team probes and safety attestations for agentic and generative systems, and drift monitoring and fairness audits for classical ML.

- Translate evaluation results into release decisions:

eval-threshold gates, red-team severity floors, canary and shadow deployments, and rollback rehearsals.

- Bring evaluation-driven development practice into client engagements

— showing, not just telling, how a live harness beats a one-time audit.

Own Presales and Client Proposals

- Respond to RFPs, RFIs and client proposals across both engines,



translating client requirements into a defensible solution architecture and commercial structure.

- Architect engagements across the full ladder

— AI QA Assessment, AI QA Transformation, Managed AI QA — and rapid-starts such as the LLM Health Check, Agent Stress Test and Compliance Sprint.

- Build estimates, staffing plans and technical win themes that hold up under client and internal scrutiny, across client-managed, risk-reward and Zensar-managed commercial models.

Present and Articulate Value to Clients

- Lead client workshops and technical walkthroughs,

including guiding a CIO through the Agentic Foundry in a single session.

- Build and deliver executive trust scorecards and portfolio risk heat maps that make the assurance story board-ready.

Build Practice IP and Mentor the Next Generation

- Contribute reusable accelerators, reference architectures and industry packs across BFSI, TMT, and Manufacturing & Retail back into the practice's IP base.

- Mentor and help build out the practice's emerging AI-specialist roles

— Prompt Engineer, LLM-Eval Engineer, Agent Architect, Trajectory Eval Engineer, Knowledge/RAG Engineer, AI Security Analyst and Adversarial Red/Blue Team Lead.

📌 AI Architect Quality Intelligence (Pune)
🏢 Zensar Technologies
📍 Pune