Staff AI Engineer

Insight Public Sector; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Medical Insurance

Professional Development: Learning平台 &

Job summary

Insight Public Sector in India is seeking a Staff AI Engineer to be the technical cornerstone of our offshore AI practice. You will architect foundational frameworks, lead design and implementation of sophisticated, agentic AI systems, and ensure scalable, secure, production-ready data pipelines.

You will mentor senior engineers, collaborate with leadership and pre-sales to demonstrate business value of AI/ML strategies, and drive RAG, CCAI, and MLOps initiatives across the organization.

Qualifications

• 7+ years in IT with a track record of architecting enterprise AI/ML solutions.
• Production-grade GenAI experience with multi-agent systems.
• Strong hands-on Google Cloud Platform (GCP) expertise.
• Experience delivering enterprise AI/ML pipelines and data architectures.
• Excellent communication with senior leaders and stakeholders.

Responsibilities

• Architect foundational AI frameworks and scalable data pipelines.
• Lead design and implementation of advanced RAG pipelines and agentic systems.
• Mentor Senior engineers and set AI observability and MLOps standards.
• Partner with pre-sales to demonstrate business value of AI/ML strategies.
• Collaborate with leadership to align AI initiatives with enterprise goals.

Skills

Generative AI

Agentic Systems

GCP Vertex AI

Data Engineering for AI

LangChain / LangGraph

Google Agent Development Kit (ADK)

BigQuery

Apache Beam

LangChain

GKE

Tools

Google Agent Development Kit (ADK)

LangGraph

LangChain

Vertex AI

BigQuery

Apache Beam

GKE

Job description

Requisition Number: 106757

Staff AI Engineer

Location: This is a hybrid opportunity in Gurugram, Trivandrum area.

Insight at a Glance

• 14,000+ engaged teammates globally with operations in 25 countries across the globe.
• Received 35+ industry and partner awards in the past year
• $9.2 billion in revenue
• #20 on Fortune’s World's Best Workplaces™ list
• #14 on Forbes World's Best Employers in IT – 2023
• #23 on Forbes Best Employers for Women in IT- 2023
• $1.4M+ total charitable contributions in 2023 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions.

About the role

As a Staff AI Engineer, you will be the technical cornerstone of our offshore AI practice. You will go beyond individual project delivery to architect the foundational frameworks that power our AI initiatives. You will lead the design and implementation of sophisticated, agentic AI systems and robust data pipelines, ensuring they are scalable, secure, and production-ready. Your mission is to bridge the gap between cutting-edge AI research and enterprise-grade reliability, serving as a mentor to senior engineers and a strategic partner to leadership Along the way, you will get to:

• Advanced RAG & Search: Architect sophisticated Retrieval‑Augmented Generation (RAG) pipelines. This includes implementing advanced chunking strategies, hybrid search (vector + keyword), and reranking mechanisms using Vertex AI Vector Search and BigQuery.
• CCAI & Conversational Systems: Act as the lead authority for Contact Center AI (CCAI) ecosystems. Oversee complex migrations (e.g., Dialogflow ES to CX) and integrate AI agents with CCaaS platforms like UJET
• Data Engineering for AI: Design end-to-end data solutions for unstructured data ingestion. Build robust ETL/ELT pipelines in BigQuery and Apache Beam to support model training, fine‑tuning, and real‑time inference
• Technical Leadership: Provide technical mentorship to Senior (L4) engineers, conduct deep-dive code/architecture reviews, and establish organizational standards for AI observability and MLOps
• Strategic Pre‑Sales: Partner with onshore architects to lead technical workshops, craft compelling proposals, and demonstrate the business value of complex AI/ML strategies to executive stakeholders.
• Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What we’re looking for

• Experience: 7+ years in IT, with a proven track record of architecting and deploying enterprise‑grade AI/ML solutions. You should have a history of leading the technical delivery of complex, multi‑component systems.
• Generative AI & Agentic Systems: 2+ years of production‑grade GenAI experience. Expertise in building multi‑agent systems using Google Agent Development Kit (ADK) and orchestration frameworks like LangGraph or LangChain. You must be able to design autonomous agents that handle complex reasoning (ReAct, Chain-of-Thought).
• Advanced RAG & Search: Deep expertise in architecting Retrieval‑Augmented Generation (RAG) pipelines. This includes designing advanced chunking strategies, hybrid search (vector + keyword), and reranking mechanisms using Vertex AI Vector Search and BigQuery.
• CCAI Expertise: Specialized experience in Google Contact Center AI (CCAI). You should understand the full ecosystem, from Dialogflow CX flows to integration with CCaaS platforms (e.g., UJET) and Agent Assist implementations.
• Data Engineering for AI: Design and implement robust data pipelines for unstructured data ingestion, transformation, and validation to support LLM fine‑tuning and real‑time inference.
• GCP Mastery: Expert‑level hands‑on experience with the Google Cloud Platform (GCP) stack: Vertex AI (Search, Conversation, Model Garden), Cloud Functions/Cloud Run, and GKE.
• Technical Leadership: Proven ability to provide technical mentorship to Senior (L4) engineers, conduct architectural reviews, and define best practices for AI safety, observability, and MLOps.
• Communication: Exceptional ability to articulate complex AI/ML architectures to both technical teams and executive stakeholders, acting as a bridge between business requirements and technical execution.

What you can expect

We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:

• Freedom to work from another location - even an international destination for up to 30 consecutive calendar days per year.
• Medical Insurance
• Health Benefits
• Professional Development: Learning Platform and Certificate Reimbursement
• Shift Allowance

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!Today's talent leads tomorrow's success.

Learn more about Insight: https://www.linkedin.com/company/insight/

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India