Role: AI/Gen AI Engineer
Level: Senior Associate
Experience: 5-10 years
Location: Bangalore and Hyderabad
The role
You own the reliability of the deployed fleet of agents and automations. You design the evaluation and guardrail strategy, lead agent-behavior incident response, and are the technical authority on whether an agent is behaving in production — and on when it is safe to give an agent more autonomy.
AgentOps is what keeps non-deterministic systems trustworthy at scale. It is distinct from Observability & SRE: AgentOps owns the behavior and safety of our agents — evals, guardrails, drift, and cost — while Observability & SRE owns the health of the client’s estate. As the fleet grows, this discipline — not headcount — is what lets a lean crew operate an ever-larger automated footprint.
About PwC AIOps
PwC’s AIOps runs the client’s operations with intelligence built in: we deploy PwC’s agentic platforms and automation accelerators into the client’s setting and operate them in production — taking cost out of the run while improving service quality,
measured and sustained year over year. This is broader than the classic “AI for IT operations”; it is operating a workforce of agents and automations that do the work, with the engineering discipline to keep them reliable and to prove the value. Forward Deployed Engineers (FDEs) are embedded with the client — high-agency, ship-to-production engineers who own outcomes rather than tickets, sitting close to the work and building what is needed.
AIOps is delivered across three disciplines that work as one loop. Build & Deploy ships the work-doers — AI agents for judgment- and language-heavy tasks, and deterministic automation for high-volume, rules-based work; the two go hand in hand, chosen by whichever is the faster, safer path to takeout. Operations (AgentOps) keeps the deployed fleet trustworthy through evaluation, guardrails, drift detection, and incident response — what lets a lean core safely operate an ever-