Job Title: Technology Lead Enterprise Content Management & Generative AI (IBM Watson)

Location: Hartford, CT 06156 (Onsite/Hybrid)
Duration: 6 Months Contract
Experience: 8 10+ Years
Interview: Virtual

< class="x_elementToProof">Visa:& GC </>

Role Overview

We are seeking a Technology Lead with strong expertise in Generative AI and Enterprise Content Management, particularly within the IBM Watson ecosystem, to drive the design and delivery of next-generation AI-powered solutions.

This role requires a blend of strategic leadership, deep technical expertise in LLMs/GenAI, and the ability to build scalable AI-driven content intelligence and automation systems.

Key Responsibilities

1. Strategic AI Leadership & Evangelization

Partner with business and technology stakeholders to define and execute AI strategy and roadmap
Drive AI adoption initiatives and evangelize GenAI capabilities across the organization
Identify high-value AI use cases and align them with business objectives

2. AI Solution Architecture & Engineering

Architect and implement end-to-end GenAI solutions including:

Data ingestion pipelines
Model orchestration
Inference services
Enterprise system integrations

Design multi-model and multi-agent architectures using modern frameworks
Build scalable, secure, and high-performance AI systems

3. Model Development, Tuning & Optimization

Apply advanced techniques such as:

RAG (Retrieval-Augmented Generation)
LoRA / QLoRA / PEFT / SFT
Prompt tuning and optimization

Work with LLMs, embeddings, and transformer architectures
Optimize models for performance, cost, and accuracy

4. GenAI Engineering & Innovation

Develop AI agents, copilots, and automation workflows
Build domain-specific AI solutions leveraging:

NLP/NLU
Multi-modal AI
Context-aware systems

Prototype and productionize AI applications

5. Client Engagement & Delivery

Lead client discussions and workshops
Translate business problems into AI-driven solutions
Perform feasibility analysis, ROI evaluation, and roadmap planning
Ensure high-quality technical delivery and stakeholder satisfaction

Required Skills & Qualifications

Core AI & GenAI Expertise

Strong experience with:

Generative AI, LLMs, and transformer models
RAG systems and semantic search
Agent-based architectures / multi-agent systems

Deep understanding of:

NLP / NLU techniques
Embeddings and vector search
Evaluation frameworks

Frameworks & Tools

Hands-on experience with:

LangChain, LangGraph, Pydantic
Vector databases: FAISS, Chroma, Milvus
Hugging Face ecosystem
PyTorch / TensorFlow

Experience working with APIs such as:

OpenAI / Azure OpenAI / Claude / Gemini

Model Tuning & Optimization

Expertise in:

LoRA / QLoRA / PEFT
Fine-tuning and prompt engineering
Model optimization techniques

Full-Stack AI Engineering

Strong Python programming skills
Experience building:

AI pipelines and orchestration layers
Backend services and APIs

Hands-on experience with:

Cloud platforms (AWS / Azure / Google Cloud Platform)
Containerization (Docker, Kubernetes)
CI/CD and MLOps practices

Consultative Skills

Excellent communication and storytelling ability
Experience in client-facing roles and solution consulting
Ability to bridge business and technical teams

Nice to Have

8 15+ years in AI/ML, including 3 5 years in GenAI/LLM solutions
Master s degree in Computer Science, AI, ML, Data Science, or related field
Certifications in:

Azure AI / AWS ML / Google Cloud Platform Vertex AI

Experience with IBM Watson AI solutions or content management platforms

Top 3 Responsibilities

Lead solution design and AI architecture
Drive end-to-end technical delivery of GenAI solutions
Manage and mentor technical teams

Soft Skills

Strong leadership and team management
Excellent stakeholder communication
Strategic thinking and problem-solving

GenAI Technology Lead Enterprise Content & AI

Key skills

About this role