Meaningful work,
meaningful life

Job Description

Experience: 10+ Years (with at least 3+ years in Generative AI/AI/ML initiatives)

Location: [City/Remote/Hybrid – specify]

Employment Type: Full-time

Role Overview

We are seeking a highly skilled GenAI Development Lead to drive the design, development, and

deployment of cutting-edge Generative AI solutions across enterprise use cases. This role requires a

visionary leader with deep technical expertise in AI/ML, hands-on experience with LLMs (Large Language

Models), and a strong background in building scalable AI products. The ideal candidate will be responsible

for leading a development team, architecting GenAI applications, ensuring best practices in model lifecycle

management, and collaborating with cross-functional stakeholders to bring next-generation AI capabilities

to market.

Key Responsibilities

• Solution Architecture & Development

• Lead the end-to-end development of GenAI solutions, from ideation to production deployment.

Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph,

AutoGen, CrewAI, or equivalent.

•

Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to

enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware

conversational AI.

•

• Technical Leadership

Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical

excellence.

•

Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and

deployment.

•

• Collaborate with data scientists to optimize models for performance, cost, and accuracy.

• Stakeholder Collaboration

Partner with product managers, business leaders, and domain experts to identify high-value GenAI use

cases.

•

• Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients.

• Governance & Security

Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AIdriven

applications.

•

• Ensure adherence to ethical AI principles and responsible use of Generative AI technologies.

Required Skills & Experience

• Technical Expertise

10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative

AI, LLMs, or advanced AI/ML.

•

• Proficiency in Python, Node.js, or equivalent languages for AI solution development.

Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and

RAG pipelines.

•

Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized

deployments (Docker, Kubernetes).

•

• Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration.

• Leadership & Delivery

• Proven track record of leading cross-functional development teams to deliver enterprise-scale AI

products.

• Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps).

• Domain Knowledge

• Exposure to industries like retail, finance, healthcare, or QSR (preferred).

• Understanding of data governance, security, and compliance in AI/ML applications.

Preferred Qualifications

Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise

SaaS ecosystems.

•

• Knowledge of MLOps and AI model monitoring frameworks.

• Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus).

• Contributions to open-source AI projects or AI research publications.

Key Attributes

• Strategic thinker with strong problem-solving and analytical skills.

• Excellent communication skills to engage both technical and non-technical stakeholders.

• Passion for emerging AI trends and the ability to rapidly learn new technologies.