AI Architect

**About US:** We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

DS Technologies Inc is looking for **AI Architect** rolefor one of our premier clients.

**Job Title: AI Architect**

**Location: Hartford, CT and Atlanta, GA**

**Position Type: Contract**

**Only W2**

**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:**

**AI Architecture & Solution Design**

• 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.

**Insurance Product Development**

• Collaborate with product managers, actuaries, and underwriting SMEs to translate insurance product requirements into AI-enabled functional components.
• Develop AI models that support rating algorithms, claims triage, eligibility checks, policy servicing workflows, and agent enablement.
• Ensure AI outputs comply with insurance regulations, underwriting guidelines, and internal governance.

**Model Engineering & Deployment**

• Lead development, training, validation, and deployment of ML models.
• Implement MLOps pipelines for automated model testing, monitoring, drift detection, and versioning.
• Optimize AI performance for accuracy, fairness, explainability, and scalability.

**Security, Compliance & Risk Management**

• Ensure data privacy and security compliance (e.g., HIPAA, GDPR, ISO standards depending on geography).
• Implement responsible AI frameworks including explainability, bias mitigation, and model auditability.
• Collaborate with risk and compliance teams to meet regulatory expectations for insurance AI models.

**Cross-Functional Collaboration**

• Partner with engineering, actuarial science, underwriting, and IT operations teams.
• Provide technical leadership and mentoring to data scientists, ML engineers, and developers.
• Drive innovation through POCs, technology evaluations, and continuous modernization.

**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).
• 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:
• **P&C** (auto, home, commercial)
• Experience building or integrating models for underwriting, rating, or fraud detection.
• **Soft Skills**
• Strong analytical and problem-solving abilities.
• Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders.
• Ability to lead cross-functional teams in a fast-paced environment.

**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.