Technical Architect / Technical Lead – MCP & Governed Model Access

Latentbridge; India; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

LatentBridge is seeking a Technical Architect / Technical Lead to own the MCP Gateway and governed model access across two phases in India. You will define end-to-end Azure APIM architecture, MCP connectivity, and security controls for enterprise-scale deployments.

The role demands 10+ years in enterprise cloud, strong Azure expertise, production AI experience, and the ability to lead cross-functional teams, mentor engineers, and drive governance and compliance.

Qualifications

• 10+ years of experience in Enterprise Architecture, Solution Architecture, or Technical Lead roles.
• Deep expertise in Azure architecture, Azure API Management (APIM), identity, and security.
• Experience designing production AI systems and MCP patterns.

Responsibilities

• Define end-to-end architecture for Azure APIM and MCP connectivity.
• Establish enterprise standards, security controls, telemetry, and governance.
• Translate requirements into concrete tasks for Azure and AI teams.
• Review code, infrastructure, and designs; contribute as needed.
• Lead validation, release readiness, and knowledge transfer.
• Coordinate with client teams to resolve dependencies and sign-offs.

Skills

Azure Architecture

APIM

Enterprise Architecture

Security

Production AI

Technical Leadership

Tools

Azure APIM

Microsoft Entra ID

Microsoft Foundry

Job description

Technical Architect / Technical Lead – MCP & Governed Model Access

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

This is a remote position.

Job Description – Technical Architect / Technical Lead – MCP & Governed Model Access

Position: Technical Architect / Technical Lead

Location: India (Hybrid/ Remote)

Employment Type: Contractor/ Permanent

Engagement Type: Full-time (1.0 FTE allocation across both phases)

Duration: 22 calendar weeks (Sequential delivery across Phase 1 & Phase 2)

Project: Enterprise Model Context Protocol (MCP) Gateway, Registry Governance & Microsoft Foundry Model Access

Urgency / Expected Delivery: Urgent / Immediate onboarding (Target start Week 1)

Standard Delivery Timeline: 22 weeks total sequential execution (Phase 1: 10 weeks | Phase 2: 12 weeks)

Experience: 10+ years in Enterprise Cloud Architecture, API Management & Production AI Systems

About the Role

We are looking for a highly accomplished Technical Architect / Technical Lead to lead the technical design, architectural governance, and delivery of the enterprise Model Context Protocol (MCP) platform and governed model access ecosystem across both phases of the programme.

The ideal candidate will have extensive experience in Azure enterprise architecture, API Management (APIM), identity, security, and production AI platforms, combined with the technical leadership required to translate complex architectural blueprints into clear, actionable engineering execution tasks for Azure and AI engineering teams.

Programme Context & Phased Effort Allocation

The engagement is structured as a 22-week sequential programme divided into two delivery phases, assuming a five-day working week:

• Phase 1: MCP Gateway and Governance (Weeks 1–10 / 10 Weeks): Full-time allocation (1.0 FTE) delivering dedicated technical architecture, APIM gateway definition, central registry standards, and security controls.
  
• Phase 2: Model Access through Microsoft Foundry (Weeks 11–22 / 12 Weeks): Full-time allocation (1.0 FTE) leading governed model endpoints, provider routing, performance validation, and operational handover.
  

Key Responsibilities

• Architecture Definition: Define the end-to-end architecture for Azure APIM, Model Context Protocol (MCP) connectivity, the central tool/server registry, and governed model access through Microsoft Foundry.
  
• Standards & Governance: Establish enterprise development standards, security controls, token logging, telemetry, data boundary controls, and regulatory governance requirements.
  
• Technical Direction & Work Decomposition: Translate functional requirements and architectural patterns into concrete implementation tasks, guiding and mentoring the Senior Azure Engineer and Senior AI Engineer.
  
• Code & Configuration Reviews: Review code, infrastructure configurations, and integration designs; contribute directly to implementation and reference components where required.
  
• Validation & Operational Readiness: Lead technical validation, performance and recovery reviews, release readiness assessments, and knowledge transfer to operational teams.
  
• Stakeholder & Dependency Alignment: Work proactively with client architecture, cyber security, and platform owners to resolve technical dependencies and achieve compliance sign-offs.
  

Required Skills & Experience

• 10+ years of experience in Enterprise Architecture, Solution Architecture, or Technical Lead roles within cloud and integration environments.
  
• Senior Azure Architecture Expertise: In-depth hands-on experience in Azure architecture, Azure API Management (APIM), enterprise integration, identity, and security (Microsoft Entra ID).
  
• Production AI & LLM Systems: Direct experience designing and deploying production AI systems, LLM gateways, agentic orchestration, and Model Context Protocol (MCP) patterns.
  
• Technical Leadership: Strong hands-on engineering capabilities combined with decisive technical leadership, code review rigor, and mentoring skills.
  
• Enterprise Integration & Security: Deep knowledge of zero-trust security postures, networking policies, secrets management, and enterprise API governance.
  
• Excellent Communication & Collaboration: Proven ability to articulate architectural decisions to C-level stakeholders, client security boards, and multidisciplinary engineering teams.
  

Preferred Qualifications

• Financial Services / Capital Markets Experience: Prior architecture experience within investment banking, market operations, or regulated financial services environments.
  
• Microsoft AI & Foundry Ecosystem: Hands-on experience with Microsoft Foundry, Azure OpenAI Service, Anthropic Claude enterprise endpoints, and LangChain/Semantic Kernel frameworks.
  
• Certifications: Microsoft Certified: Azure Solutions Architect Expert or equivalent cloud/security certifications.
  
• Consulting Background: Prior experience in a client-facing technology consulting or professional services capacity.
  
• Technical Team Leadership & Code Quality
  
• Security Controls & Compliance Management
  
• Disaster Recovery & High Availability Design
  
• Stakeholder Management & Dependency Resolution
  
• Release Readiness & Operational Handover