01
TRCD-26-06825
Lead Architect – AI & Agentic Engineering
This is a hands-on Lead Architect role focused on exploring, prototyping, and scaling GenAI and agentic capabilities for AI-native products and engineering accelerators across DPS. The core requirements are practical experience building GenAI and agentic applications, strong knowledge of LLM application patterns and agent frameworks, Python and backend engineering, cloud-native architecture, and production engineering practices. The role also calls for defining architecture and engineering practices for orchestration, evaluation, security, governance, and observability; AI coding tools and AI-powered SDLC experience are preferred. The structured experience range is 6–12 years, and the employment type is contract. The stated locations are Gurugram and Pune; work mode is not specified, and the description does not identify a specific industry or product vertical.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 12 years
Role overview
Why This Role Matters.
This is a hands-on Lead Architect role focused on exploring, prototyping, and scaling GenAI and agentic capabilities for AI-native products and engineering accelerators across DPS. The core requirements are practical experience building GenAI and agentic applications, strong knowledge of LLM application patterns and agent frameworks, Python and backend engineering, cloud-native architecture, and production engineering practices. The role also calls for defining architecture and engineering practices for orchestration, evaluation, security, governance, and observability; AI coding tools and AI-powered SDLC experience are preferred. The structured experience range is 6–12 years, and the employment type is contract. The stated locations are Gurugram and Pune; work mode is not specified, and the description does not identify a specific industry or product vertical.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Identify opportunities across AI-native applications, autonomous workflows, and AI-first software development.
03
Develop technical POVs, reference architectures, and recommendations backed by hands-on experimentation.
04
Personally design and develop agentic POCs, prototypes, and compelling demonstrations.
05
Build reusable agents, skills, tools, and engineering accelerators for adoption across DPS.
06
Experiment with AI-powered SDLC, including development, testing, and modernization.
07
Translate successful prototypes into production-ready capabilities.
08
Define architecture patterns for AI-native and agent-enabled digital products.
09
Explore new experiences designed for both human users and AI agents.
10
Establish best practices for orchestration, context engineering, evaluation, observability, security, and governance.
11
Convert innovations into differentiated offerings, reusable assets, and client opportunities.
12
Present technical POVs and demonstrations in internal and external forums.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
GenAI
Required
03
Generative AI
Required
04
LLM
Required
05
Large Language Models
Required
06
RAG
Required
07
Retrieval-Augmented Generation
Required
08
Tool calling
Required
09
Agent orchestration
Required
10
Multi-agent systems
Required
11
Context engineering
Required
12
LangGraph
Required
13
Semantic Kernel
Required
14
OpenAI Agents SDK
Required
15
MCP
Required
16
Model Context Protocol
Required
17
AWS
Required
18
Azure
Required
19
GCP
Required
20
Cloud-native
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Hands-on development of GenAI and agentic applications
LLM application patterns, including RAG, tool calling, agent orchestration, context engineering, and multi-agent systems
Experience with agent frameworks such as LangGraph, Semantic Kernel, OpenAI Agents SDK, or equivalent
Knowledge of MCP, agent interoperability, evaluation, guardrails, and human-in-the-loop workflows
Strong Python programming and modern backend engineering
Experience with APIs, microservices, cloud-native architectures, and full-stack product engineering
Experience with AWS, Azure, or GCP and associated AI services
Understanding of DevOps, CI/CD, security, testing, and production engineering
Ability to define AI-native and agent-enabled product architecture, including orchestration, observability, and governance
Preferred
Nice to Have
Hands-on use of Claude Code, Cursor, GitHub Copilot, or similar AI coding tools
Experience building developer accelerators, reusable frameworks, or AI-powered SDLC solutions
Understanding of AI-native UX and agent-enabled application architectures
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
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