Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.

With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.

Acuity became an independent business in 2019 following its acquisition from Moody’s Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.

For more information, visit www.acuityanalytics.com

Organizational relationships

Job Purpose

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

- 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.

Key competencies
- 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 industry recognitions, including Excellent Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.

📌 Enterprise AI Architect (Bengaluru)
🏢 Acuity Analytics
📍 Bengaluru