Technology Lead | Enterprise Content Management | IBM Watson

IMCS Group Inc

Hartford, CT

JOB DETAILS
SKILLS
Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Call Centers, Cloud Computing, Communication Skills, Computer Science, Content Management, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Modeling, Data Science, Diversity Recruiting, Enterprise Architecture, Establish Priorities, Feasibility Analysis, Finance, Fortune 500 Customers, GCP (Good Clinical Practices), Health Information Technology, IBM Product Family, Leadership, Microservices, Microsoft Windows Azure, Natural Language Processing (NLP), Prototyping, Return on Investment (ROI), Storytelling, System Architecture, Technical Delivery, Technical Leadership, Use Cases
LOCATION
Hartford, CT
POSTED
30+ days ago
Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs.  IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical.  We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description: Job TitleTechnology Lead | Enterprise Content Management | IBM Watson
Work Location & Reporting AddressHartford, CT 6156
Vendor Rate***/Hr***
Contract duration6
Target Start Date22 Apr 2026


Must Have Skills

Core AI & GenAI Expertise
Deep experience with Generative AI, LLMs, multi modal models, RAG systems, and agent-based architectures.
Strong knowledge of ML algorithms, NLP/NLU techniques, transformers, embeddings, and evaluation frameworks.
Model Tuning & Optimization
Hands on expertise with PEFT, LoRA, QLoRA, parameter efficient fine tuning, and prompt tuning strategies.
Frameworks, Tools & Libraries

Proficiency in:
o LangChain, LangGraph, Pydantic
o FAISS / Chroma / Milvus or other vector DBs
o PyTorch / TensorFlow
o HuggingFace ecosystem
o OpenAI / Azure OpenAI / Claude / Gemini APIs

Full Stack AI Engineering
Strong Python engineering skills for building orchestration, pipelines, and backend services.
Experience deploying AI workloads on Azure/AWS/GCP (or equivalents).
Understanding of MLOps / AIOps, CI/CD pipelines, containerization, and microservices.
Consultative & Evangelization Skills - Exceptional communication and storytelling abilities.

Nice to have skills
8 15+ years of experience in AI/ML, with at least 3 5 years in GenAI/LLM-based solutions.
Master s degree or specialization in Computer Science, AI, ML, Data Science, or related fields.
Certifications in cloud AI services (Azure AI, AWS ML, GCP Vertex AI) are highly desirable.



Key Responsibilities
1. Strategic AI Leadership & Evangelization - Partner with business and technology leaders to shape the AI roadmap, influence strategy, and embed AI in transformation initiatives.
2. AI Solution Architecture & Full Stack AI Engineering - Lead design and development of end to end AI/GenAI solutions, including data ingestion, model orchestration, inference services, and integration with enterprise systems. Architect multi model pipelines using platforms and frameworks such as LangChain, LangGraph, Pydantic, vector databases, LLM frameworks, and cloud-native services.
3. Model Development, Tuning & Optimization - Apply advanced model tuning techniques such as PEFT, LoRA, QLoRA, SFT, and Retrieval Augmented Generation (RAG).
4. GenAI & ML Engineering Excellence - Build prototype agents, copilots, AI automation flows, and domain context solutions using modern AI frameworks.
5. Client Engagement & Value Realization - Lead client discussions, articulate solution approaches, drive use case discovery, feasibility assessment, and ROI analysis to prioritize AI initiatives.


Minimum years of experience
8-10 years


Certifications Needed :No


Top 3 responsibilities you would expect the Subcon to shoulder and execute
Solution design
Technical delivery
Team handling


Interview Process (Is face to face required?) No

EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.

About the Company

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IMCS Group Inc