Engineering Lead-AI Agentic Platform

Engineering Lead
AI Agentic Platform Orchestration, Benchmarking & Unification
About The Role
We are seeking an experienced Engineering Manager to build, architect, and lead the team behind our next-generation AI Agentic Platform. This platform empowers enterprises to measure ROI on industry-specific agent activity, benchmark AI agents against performance standards, orchestrate complex multi-agent workflows, and unify AI agents seamlessly across diverse platforms and ecosystems.
As the engineering leader for this strategic product, you will combine deep technical expertise with strong people management skills to deliver a unified control plane for the rapidly evolving agentic AI landscape. You will own the technical vision, drive architectural decisions, and grow a high-performing team that ships at the frontier of AI engineering.
Platform Capabilities You'll Own
Industry-Specific ROI Measurement: Build instrumentation, analytics, and reporting frameworks that quantify the business impact of AI agents across verticals such as BFSI, healthcare, retail, and telecom.
AI Agent Benchmarking: Develop standardized evaluation harnesses, performance scoring, and quality metrics that allow enterprises to compare agents on accuracy, latency, cost, safety, and task success.
Agent Orchestration: Design multi-agent orchestration engines, workflow planners, routing layers, and coordination frameworks that enable agents to collaborate on complex tasks reliably.
Cross-Platform Agent Unification: Architect a unified abstraction layer, connectors, and protocol adapters (MCP, A2A, OpenAI Assistants, LangGraph, etc.) so customers can manage agents across vendors and frameworks from a single pane of glass.
Key Responsibilities
Hire, build, and lead a high-caliber engineering team across backend, AI/ML, and platform infrastructure
Define and own the technical architecture for a multi-tenant, scalable AI agentic platform
Drive the technical roadmap for orchestration, benchmarking, observability, and unification capabilities
Partner with Product, Design, Data Science, and GTM teams to translate customer needs into shippable engineering outcomes
Establish engineering best practices for AI agent development, evaluation, safety, and deployment
Lead architectural reviews, design discussions, and technical decision-making for complex distributed systems
Build robust evaluation frameworks and ROI dashboards that customers and internal teams trust
Ensure platform reliability, performance, security, and cost efficiency at scale
Mentor engineers, set growth paths, run performance reviews, and foster an inclusive, high-trust team culture
Communicate progress, risks, and strategic recommendations to executive leadership
Required Qualifications
8+ years of software engineering experience with at least 3+ years managing engineering teams
Proven experience architecting and scaling distributed systems, microservices, and cloud-native platforms
Hands-on experience building AI/ML or LLM-powered products in production environments
Strong understanding of agentic AI concepts including planning, tool use, memory, and multi-agent coordination
Proficiency in modern programming languages such as Python, Go, Java, or TypeScript
Experience designing APIs, SDKs, and integration platforms used by enterprise customers
Track record of recruiting, developing, and retaining strong engineering talent
Strong communication, stakeholder management, and cross-functional collaboration skills
Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Preferred Qualifications
Experience building agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar)
Familiarity with emerging agent interoperability standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols
Experience designing LLM evaluation and benchmarking systems (offline evals, A/B testing, golden datasets, judge models)
Knowledge of observability for AI systems including tracing, telemetry, and cost/quality monitoring
Experience with retrieval-augmented generation (RAG), vector databases, and prompt engineering at scale
Background in building analytics, ROI dashboards, or business intelligence tooling for enterprise customers
Domain experience in one or more verticals (BFSI, healthcare, retail, telecom, customer support, or sales)
Familiarity with AI safety, guardrails, and responsible AI frameworks
Master's degree in Computer Science, AI/ML, or related field
Technical Stack & Tooling
Languages: Python, Go, TypeScript/Node.js, Java
AI/ML Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face, PyTorch, OpenAI/Anthropic/Google APIs
Agent Protocols: MCP, A2A, OpenAI Assistants API, function calling, tool use frameworks
Data & Storage: PostgreSQL, MongoDB, Elasticsearch, Pinecone/Weaviate/Qdrant, Snowflake/BigQuery
Streaming & Messaging: Kafka, Redis, RabbitMQ, gRPC
Cloud & Infra: AWS, GCP, Azure, Kubernetes, Terraform, Docker
Observability: Datadog, OpenTelemetry, LangSmith, Langfuse, Prometheus, Grafana
What We're Looking For
A builder-leader who can both architect deeply technical systems and grow a high-performing team
Someone genuinely excited about agentic AI and the future of multi-agent enterprise systems
A pragmatic decision-maker who can balance innovation, customer value, and engineering excellence
A strong communicator who can simplify complex AI concepts for diverse audiences
A coach and mentor who invests in people and builds inclusive, psychologically safe teams
Why Join Us
Lead one of the most strategic AI initiatives at the company at the forefront of agentic AI
Build a category-defining platform that unifies, benchmarks, and orchestrates AI agents across the enterprise
Shape product and technical strategy alongside senior leadership
Work with cutting-edge LLMs, agent frameworks, and evaluation tooling
Competitive compensation, equity, and comprehensive benefits
Flexible work culture with strong investment in learning and development
We are an equal opportunity employer committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds.

Work arrangement
No