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
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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
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