Role Summary

Own end-to-end delivery of enterprise AI platforms build for a external clients, from foundational knowledge/data assets through component build, system integration, and a production pilot. Serve as the single point of accountability across a cross-functional pod spanning data modelling, solution architecture, engineering, security, compliance, evaluation, and pre-sales. Convert a phased delivery plan into a staffed, budgeted, milestone-tracked program executed inside a fixed engagement window.

Key Responsibilities

- Program ownership. Drive and track delivery from foundation build through integration and pilot go-live against a fixed timeline, reporting objective completion status per workstream.
- Cross-functional coordination. Run the delivery cadence across data/domain modeling, architecture, engineering, integration, security and governance, evaluation, and solutions-engineering roles.
- Program stewardship. Manage the engagement toward its committed scope, margin, and contractual milestones, and support the path from pilot to expanded or renewed engagement.
- Risk management. Actively surface and manage the engagement's structural trade-offs, including data-boundary and third-party processing exposure, cost behaviour under volume growth,



and scope integrity against use cases better served by a different architectural approach.
- Executive reporting. Report delivery status, budget burn, risk posture, and pilot readiness to client and internal stakeholders on a fixed cadence.

Required Qualifications

- 7+ years including technical execution + delivery management + ownership of client-facing engagements.
- Working knowledge of retrieval-augmented generation, agent orchestration, prompt and context design, and model evaluation, sufficient to scope work and challenge engineering estimates.
- Demonstrated delivery of production enterprise systems involving machine learning or large language models; direct experience with agentic and retrieval-based systems is strongly preferred.
- Experience running multi-module programs with parallel tracks and objective milestone tracking against a fixed timeline.
- Strong stakeholder management across engineering, domain SMEs, security and compliance, and commercial teams.

Preferred Qualifications

- Experience delivering into regulated industries (financial services, healthcare, insurance, technology, or similar).
- Experience in a skilled services, consulting, or systems-integrator delivery model.
- Program management certification (PMP, SAFe, or equivalent).

📌 Project Manager - AI (Pune)
🏢 Opus Technologies
📍 Pune