AI Architect - C2C Contract

AI Architect
Location: Hartford, CT (1st preference) | Atlanta, GA (2nd Preference) Duration: 6 Months GC and Citizen Only: No H1B Employment Type: C2C Contract Seniority Level: Mid‑Senior level Position Overview: We are seeking an AI Architect to lead the design, development, and deployment of AI-powered capabilities for our next‑generation insurance product. This role will be responsible for defining the AI architecture, integrating advanced machine learning models, collaborating with actuarial and underwriting teams, and ensuring scalable, secure, and compliant AI solutions across the product lifecycle.

Key Responsibilities: Design end‑to‑end AI/ML architecture for insurance‑specific use cases such as underwriting automation, risk scoring, fraud detection, customer personalization, and pricing optimization. Select and define the appropriate AI technologies, model architectures (LLMs, predictive ML, NLP, vision models), and data pipelines. Build scalable ML systems using cloud‑native solutions (AWS, Azure, or GCP) and ML Ops frameworks.

Required Qualifications: Technical Skills: 4+ years of experience in AI/ML engineering, architecture Expertise in ML frameworks, LLMs, NLP, and generative AI. Strong background in cloud architecture (Azure). Good experience using Azure AI Services and Azure Agent Frameworks – Mandatory with GHCP.

Experience implementing MLOps (CI/CD pipelines, model monitoring tools). Hands‑on experience with APIs, microservices, and containerization (Docker, Kubernetes).

Insurance Industry Experience: Deep understanding of insurance processes in at least one line of business.

Experience building or integrating models for underwriting, rating, or fraud detection.

Preferred Qualifications: Bachelor’s or master’s in computer science, AI, or related field.

Certifications in cloud architecture (Azure Architect).

Experience with interpretable ML techniques relevant to regulated industries.

Background in actuarial science or