AI Architect - C2C Contract

Makonis; Hartford (CT); On-site; USD 100,000 - 140,000; Part time

Job summary

A leading technology company is looking for an AI Architect to spearhead the design and development of AI capabilities for innovative insurance products. The ideal candidate will have over 4 years in AI/ML engineering with expertise in cloud architecture, specifically Azure. Responsibilities include defining AI architecture and integrating machine learning models. This role offers a contract position focusing on collaboration across teams to ensure scalable, secure AI solutions.

Qualifications

• 4+ years of experience in AI/ML engineering and architecture.
• Expertise in ML frameworks, LLMs, NLP, and generative AI.
• Strong background in cloud architecture (Azure).

Responsibilities

• Design end‑to‑end AI/ML architecture for insurance‑specific use cases.
• Select and define AI technologies, model architectures, and data pipelines.
• Build scalable ML systems using cloud-native solutions.

Skills

AI/ML engineering

ML frameworks

NLP

Generative AI

Cloud architecture (Azure)

APIs and microservices

Docker

Kubernetes

Education

Bachelor's or master's in computer science, AI, or related field

Tools

Azure AI Services

MLOps frameworks

Job description

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 insurance analytics is a strong plus.

Please send your resume to [e-mail] at your earliest convenience.