01
TRCD-26-06660
Lead AI Engineer
This Lead AI Engineer will provide hands-on technical leadership for enterprise Generative AI, agentic AI, data engineering, and AI-enabled engineering solutions. The role covers architecture, development, integration, validation, deployment readiness, and production improvement, with Python, SQL, LLMs, AI agents, RAG, APIs, and enterprise data concepts central to the work. Snowflake and AWS are preferred; the description also calls for scalable solution design, technical direction, code reviews, and mentoring. The stated experience is 8+ years, consistent with the structured 8–10-year range. The role is a contract position in Bengaluru; the work mode is not specified, and no specific industry or product domain is named.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
This Lead AI Engineer will provide hands-on technical leadership for enterprise Generative AI, agentic AI, data engineering, and AI-enabled engineering solutions. The role covers architecture, development, integration, validation, deployment readiness, and production improvement, with Python, SQL, LLMs, AI agents, RAG, APIs, and enterprise data concepts central to the work. Snowflake and AWS are preferred; the description also calls for scalable solution design, technical direction, code reviews, and mentoring. The stated experience is 8+ years, consistent with the structured 8–10-year range. The role is a contract position in Bengaluru; the work mode is not specified, and no specific industry or product domain is named.
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
Design AI solutions that integrate LLMs, enterprise data platforms, semantic/metadata layers, APIs, and business applications.
03
Define reusable patterns and frameworks for scalable, maintainable, and production-ready AI solutions.
04
Lead technical design and code reviews and ensure adherence to engineering, security, performance, and quality standards.
05
Mentor AI and data engineers and provide technical guidance for complex implementation and integration challenges.
06
Collaborate with architects, data engineers, application engineers, product teams, and business stakeholders to translate requirements into robust technical solutions.
07
Drive solution validation, troubleshooting, deployment readiness, and continuous improvement of AI capabilities.
08
Experience developing AI agents, LLM-powered applications, RAG/grounding solutions, APIs, and data-driven AI applications.
09
Strong understanding of data engineering, data modeling, semantic/metadata concepts, and enterprise data platforms.
10
Experience with Snowflake and cloud platforms such as AWS is preferred.
11
Experience designing scalable enterprise solutions and integrating AI capabilities with existing applications and data ecosystems.
12
Strong technical leadership, problem-solving, communication, and stakeholder-management skills.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
SQL
Required
03
Snowflake
Required
04
AWS
Required
05
cloud platforms
Required
06
Generative AI
Required
07
GenAI
Required
08
LLM
Required
09
large language models
Required
10
agentic AI
Required
11
AI agents
Required
12
RAG
Required
13
retrieval augmented generation
Required
14
grounding
Required
15
LLM applications
Required
16
APIs
Required
17
REST APIs
Required
18
data engineering
Required
19
data modeling
Required
20
enterprise data platforms
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 Python engineering
SQL
Generative AI and LLMs
Agentic AI architectures and AI agent development
LLM-powered applications, RAG, and grounding
Data engineering, data modeling, and enterprise data platforms
Semantic layers and metadata concepts
API development and integration with applications and data ecosystems
Scalable enterprise AI solution design and production readiness
Technical leadership, code reviews, and mentoring
Preferred
Nice to Have
Snowflake
AWS or other cloud platforms
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
Apply for Lead AI Engineer
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