Software Engineering Manager

Pearson India Education Services Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Pearson India Education Services Pvt Ltd is seeking a player-coach to lead the AgentOps Forward Deployed Engineering team. You will hire, coach, and grow engineers, while staying technically hands-on to shape platform patterns and agent orchestration.

You will drive observability, enforce guardrails, and collaborate across product, research, cloud, data science, and engineering leaders to deliver reliable, scalable agentic AI at enterprise scale.

Qualifications

• Has led, coached, or mentored engineers as a manager, tech lead, or team lead.
• Experience building and deploying AI/agentic systems in production.
• Strong Python and backend engineering for cloud-native distributed systems.

Responsibilities

• Lead & Grow the Team: hire, coach, and develop a team of AgentOps Forward Deployed Engineers; set goals and ensure delivery quality.
• Build & Ship the Platform: stay hands-on; drive design reviews; establish patterns and standards for agent development and LLM orchestration.
• Operate & Observe: implement observability, cost, latency, and reliability metrics; ensure production readiness.
• Govern & De-risk Agentic Work: establish guardrails, identity/auth, access control, and data privacy compliance.
• Collaborate & Influence: manage intake and cross-team dependencies; advise senior leadership on capabilities and risks.
• Drive Innovation: evaluate new tools and patterns; raise platform capability and developer experience.

Skills

Python

Backend engineering

Team leadership

Hiring & mentoring

LLMOps

Observability

Cloud platforms

Education

Bachelor's or Master's in CS/AI

Tools

LangGraph

CrewAI

ADK

Langfuse

LangSmith

Arize Phoenix

Cursor

Claude Code

Job description

Why Join AgentOps

Drive the future of Agentic AI at Pearson as part of the 'AgentOps' team. Inspire innovation. Empower learning.

Why Join AgentOps

Work on cutting-edge agentic AI systems at enterprise scale.

Help build a symbiotic workforce of humans and AI agents. Solve real business problems across enterprise. Be part of shaping next-gen AI engineering practices.

What You'll Do

Lead & Grow the Team. Hire, coach, and develop a team of AgentOps Forward Deployed Engineers, owning performance, growth, and career progression. Foster an inclusive, high-performing culture of continuous improvement, strong engineering craft, and psychological safety. Set clear goals, run a healthy delivery cadence, and remove blockers so the team ships with quality and speed.

Build & Ship the Platform (hands-on). Stay technically hands-on - lead design reviews and set the patterns and standards the team builds to. Take high-impact agentic use cases from prototype to production, with reusable connectors, shared services, and clean crew hand-offs. Establish standardized practices for agent development, orchestration, and LLMOps across the team. Operate & Observe. Instrument crews end to end with observability — traces, cost, tokens, latency, and error rates — so teams can see and trust what agents do. Own the reliability, performance, and cost targets that keep agentic workloads dependable, scalable, and operationally ready in production.

Govern & De-risk Agentic Work. Establish guardrails, constraints, and risk controls for agent-driven work — from acceptance criteria to safe, governed enterprise integration. Own the identity, authentication, and access model for agents and connectors — separating credentials, RBAC, and audit. Ensure agent crews meet regulatory, security, and data-privacy requirements as they scale across business units.

Collaborate & Influence. Manage intake, prioritization, and cross-team dependencies, translating business needs into clear acceptance criteria for your team. Partner with product, research, cloud, data science, and engineering leaders across OCTO. Act as a trusted advisor to senior leadership on agentic AI capabilities, trade-offs, and operational risk.

Drive Innovation. Stay ahead of emerging trends in agent orchestration, multi-agent frameworks, and LLMOps, and evaluate them pragmatically. Pilot new tools and patterns that raise the platform's capability, reliability, and developer experience.

Who You Are

A player-coach who leads by doing — technically credible enough to earn your engineers' trust, and genuinely energized by growing them.

A pragmatic operator who turns complex agentic systems into reliable, production-ready services.

A people leader who builds inclusive, high-performing teams and gives clear, kind, direct feedback.

A collaborator who influences across functions and thrives in ambiguity.

What You Bring

Selected on demonstrated capability, not years. Has led, coached, or mentored engineers - as a manager, tech lead, or team lead - and is ready to own hiring, performance, and growth for a team. Builds LLM-powered systems, AI agents, or workflow automation in production, and stays hands-on with the code. Strong Python and backend/platform engineering on cloud-native, distributed systems. Have worked on agent orchestration or multi-agent frameworks (e.g. CrewAI, LangGraph, ADK) and LLM observability tooling. Expertise in one of the public cloud platforms (AWS/Azure/GCP). Understands the agent lifecycle end to end - orchestration, identity/auth, observability, guardrails, and operating AI reliably in production. Sets standards and designs with clear trade-off awareness across quality, latency, cost, resilience, and maintainability. Excellent communication and stakeholder-engagement skills, from hands-on engineers to senior leadership. Bachelor's or Master's in Computer Science, AI/ML, or a related field, or equivalent practical experience. Even better Experience productionizing Agentic Applications. Versed with MCP, A2A ,context engineering, and HITL agent execution. AI observability and evaluation frameworks (Langfuse / LangSmith / Arize Phoenix). Fluent in AI-pair-programming (Cursor, Claude Code) as a delivery mode, and able to raise a team's floor with it.

What You'll Gain

The chance to lead a team building enterprise agentic AI used across Pearson. Room to stay technical while you grow as a people leader. Opportunities to shape strategy and influence outcomes across OCTO. Access to cutting-edge tools, platforms, and thought leadership.

Experience Level Mid Level