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Enterprise Architect

Job in 682001, Kochi, Kerala, India
Listing for: milestone technologies, inc.
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity
Job Description & How to Apply Below
Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market.

The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and Service Now. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity.

Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

Job Overview

We're hiring an Enterprise Architect to define and govern the technical blueprint for an AI-first, data-centric platform. The role spans target architecture, reference patterns, and guardrails across orchestration, knowledge systems, retrieval pipelines, security, and operations. You'll partner with product, security, data, and engineering leads to translate business outcomes into resilient, scalable designs-then guide teams to deliver them with measurable quality, cost, and reliability.

Key Responsibilities

Target Architecture &

Roadmap:

Define the end-to-end architecture (experience, orchestration, agents/tools, data/knowledge, security, observability) and a phased roadmap.
Reference Patterns & Standards:
Establish patterns for multi-agent orchestration, connector/adapter design, model routing, policy-as-code, and evaluation/observability; produce reference implementations.
Knowledge & Retrieval:
Architect the coexistence of knowledge graph reasoning and retrieval (RAG) baselines; select graph/embedding stores, query patterns, and caching strategies.
Integration & Platform Services:
Define typed interfaces and contracts for AI engines, vector/graph stores, SQL/warehouse, and external tools; standardize retries, idempotency, and failure isolation.
Security & Governance:
Embed SSO/IDP, secret management, entitlement models (role/row/column), data minimization, auditability, and red-team controls into the design.
Evaluation & SLOs:
Institutionalize quality gates (faithfulness/correctness, precision/recall, latency), automated re-evaluation on change, and service SLOs with error budgets.
Operability:
Drive choices for tracing/logging/metrics, incident response, capacity planning, and cost/performance budgets; ensure CI/CD, IaC, and environment promotion gates.
Technical Leadership:
Review designs/PRs, mentor leads, resolve cross-team trade-offs, and communicate architecture decisions to technical and non-technical stakeholders.

Required Skills

Architecture Mastery: 3-5+ years designing distributed systems or platforms (microservices, event-driven, API-first) on cloud environments.
AI/LLM Platform Patterns:
Practical experience with multi-agent orchestration, model/embedding selection, RAG pipelines, and knowledge graph solutions.
Data & Knowledge Stores:
Hands-on with one or more: graph DBs (RDF/SPARQL or property graph/Gremlin), vector DBs (pgvector, Milvus, Pinecone, Weaviate), SQL/warehouse.
Security-by-Design: SSO/OAuth/OIDC, secrets management,…
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