Enterprise AI Architect

Acuity Analytics; Bengaluru; On-site; INR 5,500,000 - 8,500,000; Full time

Job summary

Acuity Analytics is seeking a Senior Enterprise AI Architect to define the technical vision for the Enterprise Agent Fleet product. You will lead architecture across agent orchestration, tool integration, and platform services in a multi-tenant SaaS environment.

The role requires deep experience in multi-agent frameworks, LLM integration, and scalable enterprise-grade systems, with hands-on work in Python/Go and cloud-native infrastructure (Kubernetes).

Qualifications

• 15+ years of software engineering experience, with 5+ years in AI/ML or GenAI platform architecture.
• Deep hands-on experience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or MCP.
• Strong knowledge of LLM integration, prompt/context engineering, retrieval-augmented generation (RAG).
• Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes at scale.

Responsibilities

• Define end-to-end technical architecture for the Enterprise Agent Fleet product, including orchestration and tooling.
• Lead multi-agent system design capable of handling thousands of concurrent enterprise workflows.
• Architect agent lifecycle, memory, evaluation, and governance for autonomous and human-in-the-loop agents.
• Drive technical design using LangGraph, AutoGen, CrewAI, or MCP-based architectures.
• Integrate the platform with LLM APIs, vector databases, RAG pipelines, and data platforms.
• Design agent communication protocols, tool-use contracts, and human-in-the-loop approvals.

Skills

AI architecture

LangGraph

AutoGen

CrewAI

MCP

LLM integration

Kubernetes

Python

Go

Cloud platforms

CI/CD

Multi-agent systems

REST APIs

GraphQL

gRPC

Camunda

Kafka

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

MCP

Camunda

Kubernetes

Job description

Acuity Analytics (the trading nameof Acuity Knowledge Partners) is a global, tech-first organization helpingfinancial institutions and corporates make better decisions through research,data, analytics and AI-enabled solutions. We combine deep financial servicesexpertise with strong engineering, digital and AI capabilities to solvecomplex, real-world problems.

With a team of 7,200+ analysts,data specialists and technologists across 28 locations, we work with more than800 organizations worldwide to drive efficiency, unlock insight and delivermeasurable impact. Our success is built on the strength of our people—byinvesting in talent, encouraging collaboration and creating room to grow, weenable our teams to do their best work for clients.

Acuity became an independentbusiness in 2019 following its acquisition from Moody’s Corporation byEquistone Partners Europe. In 2023, funds advised by global private equity firmPermira acquired a majority stake, with Equistone remaining a minority investor—supportingour continued growth and innovation.

We are looking for a15+ years experienced Senior Enterprise AI Architect / Principal AI Engineerto define the technical vision and drive the architecture of our Enterprise Agent Fleet product — a platform for building, orchestrating, and governing fleets of autonomous and human-in-the-loop AI agents at enterprise scale. The ideal candidate will have deep expertise in agentic system design, LLM orchestration, multi-agent frameworks, and enterprise-grade platform architecture, and will act as a technical anchor across product, engineering, and AI research teams.

Key responsibilities

• Define and own the end-to-end technical architecture for the Enterprise Agent Fleet product, spanning agent orchestration, tool integration, and platform services.
• Design scalable, secure, and highly available multi-agent systems capable of supporting thousands of concurrent enterprise workflows.
• Architect the agent lifecycle — planning, tool invocation, memory, evaluation, and governance — for autonomous and human-in-the-loop agents.
• Lead technical design and deliveryusing multi-agent orchestration frameworks such as LangGraph, AutoGen, CrewAI, or MCP-based architectures.
• Integrate the Agent Fleet platformwith LLM APIs, vector databases, RAG pipelines, enterprise data platforms, and real-time event streams.
• Design protocols for agent-to-agent communication, tool-use contracts, streaming responses, and human-in-the-loop approval processes.
• Design and implement workflow-driven agent orchestration using BPM/process engines (Camunda or similar) where deterministic control is required.
• Integrate the platform withenterprise identity, secrets management, observability, and CI/CD systems.
• Build frameworks for agent evaluation, exception management, guardrails, and SLA monitoring across the fleet.
• Collaborate with product and business teams to translate enterprise processes into agentic, BPMN/DMN-based workflows.
• Establish standards for reusable agent components, prompt/context management, API integration, authentication, and error handling.
• Ensure platform observability, cost efficiency, latency optimization, and enterprise-grade application security.
• Conduct architecture and design reviews, and mentor senior and staff-level AI engineers.
• Collaborate with Product, AI Research, Backend, Data, Security, and DevOps teams across the organization.
• Own the design and evolution of theagent harnessthat governs agent execution, tool calling, sandboxing, retries, and runtime observability across the fleet.
• Architect the Agent Fleet product as amulti-tenant SaaS platform, covering tenant isolation, subscription and usage-based billing, RBAC, and enterprise-grade onboarding.
• Own technical delivery of the Agent Fleet product from architecture and prototyping through production deployment, scaling, and optimization.
• Design, build, and deploy enterprise-grade agentic AI platforms usingPython and Goanddistributed, cloud-native infrastructure (Kubernetes, event-driven microservices)
• Deep hands-on experience building and scalingmulti-agent systems(e.g., planning agents, tool-calling agents, retrieval-augmented agents) into production enterprise workflows.
• 15+ years of software engineering experience, with 5+ years in AI/ML or GenAI platform architecture.
• Advanced, production experience withLangGraph, AutoGen, CrewAI, Semantic Kernel, or the Model Context Protocol (MCP).
• Proven track record architecting enterprise-grade AI platforms serving thousands of users or high-throughput workloads.
• Strong knowledge of LLM integration, prompt/context engineering, retrieval-augmented generation (RAG), vector databases, and streaming inference.
• Hands-on experience with workflow/process engines such as Camunda 7 or Camunda 8 for deterministic orchestration alongside agentic flows
• Strong understanding of BPMN 2.0, DMN, workflow orchestration, agent evaluation frameworks, and human-in-the-loop task management.
• Experience integrating enterprise platforms withREST APIs, GraphQL, gRPC, event streaming (Kafka), and microservices.
• Knowledge of agent memory/state management, evaluation and testing frameworks, and cost/latency performance optimization for LLM-based systems.
• Deep understanding of cloud platforms (AWS/GCP/Azure), CI/CD pipelines, containerization/Kubernetes, security, and observability at enterprise scale.
• Hands-on experience building or operating anagent harness— the runtime layer that manages agent execution loops, tool/function calling, context window and memory management, sandboxing, retries, and observability for autonomous agents.
• Prior experience architecting or scalingmulti-tenant SaaS products, including tenant isolation, subscription/usage-based billing, role-based access control, and enterprise onboarding at scale.
• Strong technical leadership, communication, and stakeholder management skills.

Acuity Analytics has earned several prestigious industryrecognitions, including Great Place to Work certifications in India and CostaRica, AVTAR Best Companies for Women in India, the AVTAR Most InclusiveCompanies Index, and silver accreditation in the Workplace Equality Index.These accolades reflect our commitment to building an inclusive, supportive andhigh-performance workplace for our people. Learn more here.