AI Expert

Title: AI Expert Location: Hartford, CT (Hybrid Onsite Tuesday through Thursday; Remote Monday and Friday) Duration: 6+ months Implementation Partner: Infosys End Client: To be disclosed

JD

We are seeking a highly skilled AI Evangelist / AI Expert to drive AIled transformation across the account, shape the AI strategy, and enable scalable adoption of Generative AI, Machine Learning, and fullstack AI engineering capabilities. This role will partner with client stakeholders, engineering teams, and leadership to identify highvalue opportunities, define solution architectures, build PoCs/POVs, and guide implementation using modern AI frameworks, modeltuning techniques, and orchestration patterns.

Key Responsibilities

Strategic AI Leadership & Evangelization

• Act as the primary AI thought leader for the account, driving awareness, education, and advocacy for emerging AI/GenAI capabilities.
• Partner with business and technology leaders to shape the AI roadmap, influence strategy, and embed AI in transformation initiatives.
• Conduct AI workshops, ideation sessions, and executive briefings to help define and prioritize highimpact use cases.

AI Solution Architecture & FullStack AI Engineering

• Lead design and development of endtoend AI/GenAI solutions, including data ingestion, model orchestration, inference services, and integration with enterprise systems.
• Architect multimodel pipelines using platforms and frameworks such as LangChain, LangGraph, Pydantic, vector databases, LLM frameworks, and cloud-native services.
• Build scalable, secure, and modular AI components for repeatability across use cases.

Model Development, Tuning & Optimization

• Apply advanced modeltuning techniques such as PEFT, LoRA, QLoRA, SFT, and RetrievalAugmented Generation (RAG).
• Evaluate, finetune, and optimize foundation models (open-source and enterprise) for domainspecific workloads.
• Perform model benchmarking, guardrail design, prompt engineering, evaluation, and continuous improvement.

GenAI & ML Engineering Excellence

• Build prototype agents, copilots, AI automation flows, and domaincontext solutions using modern AI frameworks.
• Develop ML pipelines, feature engineering workflows, evaluation metrics, and monitoring dashboards.
• Ensure adherence to responsible AI, security, compliance, and governance standards.

Client Engagement & Value Realization

• Lead client discussions, articulate solution approaches, and build strong trust across business and technology stakeholders.
• Drive use case discovery, feasibility assessment, and ROI analysis to prioritize AI initiatives.
• Own delivery of PoCs/POVs ensuring measurable business outcomes and technical excellence.

Collaboration & Enablement

• Mentor internal teams, conduct training, build reusable accelerators, and foster an AIfirst engineering culture.
• Collaborate with multidisciplinary teams data engineering, cloud, architecture, and domain SMEs to deliver integrated solutions.

Required Skills & Experience

Core AI & GenAI Expertise

• Deep experience with Generative AI, LLMs, multimodal models, RAG systems, and agent-based architectures.
• Strong knowledge of ML algorithms, NLP/NLU techniques, transformers, embeddings, and evaluation frameworks.

Model Tuning & Optimization

• Handson expertise with PEFT, LoRA, QLoRA, parameterefficient finetuning, and prompttuning strategies.
• Experience customizing opensource and enterprise LLMs for domainspecific tasks. Frameworks, Tools & Libraries.

Proficiency in:

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

FullStack AI Engineering

• Strong Python engineering skills for building orchestration, pipelines, and backend services.
• Experience deploying AI workloads on Azure/AWS/Google Cloud Platform (or equivalents).
• Understanding of MLOps / AIOps, CI/CD pipelines, containerization, and microservices

Consultative & Evangelization Skills

• Exceptional communication and storytelling abilities.
• Strong clientfacing experience handling CxO conversations, workshops, roadmap presentations.
• Ability to simplify complex AI concepts for business and technical audiences.

Preferred Qualifications

• 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, Google Cloud Platform Vertex AI) are highly desirable.