---
title: 'Gen AI Lead at Orion Innovation Naukri'
canonical: 'https://feeny.ai/job/gen-ai-lead-orion-innovation-naukri-chennai-wxd2vpm5ebhj'
type: 'job'
last_seen: '2026-09-14'
---

# Gen AI Lead at Orion Innovation Naukri

- **Company:** Orion Innovation Naukri
- **Location:** Chennai, Tamil Nadu
- **Posted:** 2026-03-04
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/orioninnovationnaukri/jobs/4659351006

## Job description

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

- Technical Leadership:
- Lead the end-to-end design and implementation of Generative AI solutions.
- Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
- Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
- Solution Development:
- Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
- Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
- Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
- Ensure scalability, performance, and security of AI solutions deployed in production.
- Integration and Deployment:
- API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
- Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
- Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
- Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
- Data Strategy and Preparation:
- Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
- Implement data governance and privacy practices in line with organizational policies.
- Innovation and Research:
- Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
- Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
- Stakeholder Collaboration:
- Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
- Present technical concepts, project progress, and AI capabilities to non-technical audiences.

## Key Requirements

- Technical Skills:
- Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
- Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
- Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
- Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
- Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
- Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
- Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
- 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
- Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
- Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
- Proven track record of leading AI projects from inception to production.
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
- Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

## About Orion Innovation Naukri

## Company Overview
- **One-liner**: Orion Innovation is a global software engineering and data company that helps organizations modernize technology, reimagine customer experiences, and accelerate growth through Data, AI, Cloud, and Experience Design.
- **Entity Type**: Private
- **Headquarters**: Edison, New Jersey, USA
- **Founded**: 1993 (over 30 years in business)
- **Founders**: Not publicly available on standard sources

## Core Business
- Primary industry/industries: Software Engineering, IT Services, Digital Transformation, Data & AI, Cloud Services, Cybersecurity
- Target customers: Enterprise businesses across industries (B2B)
- Mission: "We help clients solve complex challenges, drive transformation, and move confidently toward what's next."
- Purpose: "To build what matters, using Data, AI, and Cloud to help our clients thrive through innovation and turn technology into tangible business impact."

## Products & Services
- **Data & Analytics**: Transform enterprise data into a growth engine through data strategy, engineering, migration, analytics, and modern platforms.
- **AI Services**: Accelerate enterprise AI adoption with advisory services, responsible AI, generative AI development, and agentic systems.
- **Cloud & Infrastructure Modernization**: Cloud and VMware migration, legacy modernization, cloud security, managed services, and DevSecOps.
- **Engineering & Digital Product Development**: Cloud-native engineering, AI/ML, mobile development, and quality engineering.
- **Cybersecurity**: Adaptive cybersecurity, cyber defense operations, AI security, and governance, risk & compliance (GRC).
- **Experience Design (UX/UI)**: Human-centered digital experiences via design strategy, journey management, design systems, UX/UI prototyping, and martech.

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metric**: 6,000+ associates globally
- **Notable Clients**: Top 10 clients have an average tenure of 20+ years, indicating deep, long-term partnerships
- **Growth Signals**: 30+ years in business; offices across North America (USA, Canada, Mexico), Europe (UK, Romania, Serbia, Türkiye), India, and Asia Pacific; expanding globally with major delivery centers in 12 locations; recruiting actively across multiple regions

### Global Presence
| Region | Associates |
|---|---|
| North America (Canada, USA, Mexico) | 2,300+ |
| Europe | 2,000+ |
| India & Asia Pacific | 1,700+ |

## Competitive Advantages
- **Deep Client Relationships**: Average 20+ year tenure with top 10 clients, showing exceptional client retention and trust
- **Global Delivery Model**: Nearshore and offshore centers enable 24/7 delivery, cost efficiency, and continuous business support
- **Combined Expertise**: Unique blend of Data & AI, Cloud, Cybersecurity, Engineering, and Experience Design under one roof
- **Long-standing Track Record**: Over 30 years in business with proven ability to adapt and scale

## Strategic Focus
- Scaling AI and data-driven transformation services globally
- Expanding delivery capabilities across regions (actively hiring in North America, Europe, LATAM, India, and Asia)
- Investing in "Orion Academy" for employee learning and development
- Building next-gen engineering capabilities in Data, AI, Cloud, and Cybersecurity

## Why Work Here
- **Culture**: Described as dynamic, collaborative, and innovative — teams explore new ideas, challenge assumptions, and collaborate openly
- **Learning & Growth**: Access to Orion Academy, exposure to Data, AI, and next-gen engineering, cross-regional collaboration, and opportunities to take ownership and lead
- **Work Model**: Hybrid model offering flexibility with intentional collaboration; thoughtfully designed spaces for focus and teamwork
- **Inclusion**: "Belonging & Inclusion" is a stated priority — diverse perspectives are valued and celebrated
- **Global Opportunities**: Work across continents with a diverse global talent pool of 6,000+ associates
- **Community Impact**: Volunteer programs, educational partnerships, environmental initiatives, and social impact work
- **Perks**: Learning and development support, leaders who invest in your progress, opportunities for ownership
- **Job Openings**: 78 open positions as of the search date, across Delivery, Corporate, Technology, and Engineering categories — roles include Full Stack Developer, AI Engineer, Product Owner, GitHub Platform Lead, and more

## Sources
1. [Orion Innovation - About](https://www.orioninnovation.com/about/who-we-are/)
2. [Orion Innovation - Services Overview](https://www.orioninnovation.com/)
3. [Orion Innovation - Life at Orion](https://www.orioninnovation.com/careers/life-at-orion/)
4. [Orion Innovation - Careers/Jobs](https://www.orioninnovation.com/careers/job/)
5. [Naukri.com - Orion Innovation Overview](https://www.naukri.com/orion-innovation-overview-4616725)

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