AI Solution Architect

JOB DESCRIPTION OVERVIEW The Solution Architect designs and oversees the architecture of custom AI, analytics, and data sciences solutions.

This role requires deep expertise in integrating cloud-based technologies, large language models (LLMs), AI frameworks, and custom-developed components into secure, scalable, and compliant solutions tailored for life sciences and healthcare clients.

The Solution Architect ensures the effective use of technology stacks and modern containerization practices while collaborating closely with technical teams, stakeholders, and clients.

POSITION RESPONSIBILITIES Architect robust AI and data-driven solutions leveraging industry-leading technologies.

Evaluate, select, and integrate commercial and open-source technologies, including Microsoft Azure services, Python environments, and LLM APIs (OpenAI, Anthropic, Perplexity, Meta).

Lead design sessions and technical workshops with client stakeholders to define solution requirements and architecture.

Document detailed architectural diagrams, technical specifications, and implementation plans.

Provide hands-on code development and configuration of all architectural components, services, and products Provide ongoing architectural oversight throughout the project lifecycle, ensuring compliance with regulations (21 CFR Part 11, HIPAA).

Establish and promote architectural best practices, standards, and governance models for AI and analytics development and deployment.

Collaborate with clients to understand their business goals, AI maturity, and develop tailored strategies and solution roadmaps.

Support business development efforts, including RFP responses, solution proposals, and client presentations.

Continuously evaluate emerging AI trends, tools, and platforms to maintain solution effectiveness and innovation.

Drive internal development of reusable frameworks, components, and accelerators for future projects.

Contribute actively to the firm's AI strategy, thought leadership initiatives, and knowledge-sharing activities.

Provide technical mentorship to development team members as needed.

REQUIRED QUALIFICATIONS, SKILLS, AND EXPERIENCE Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related technical discipline; Master’s degree preferred. 7+ years of experience in solution architecture and development.

Prior experience in consulting, specifically in life sciences or healthcare environments.

Proven track record of delivering complex projects in a client-facing or consulting capacity.

Advanced expertise in Microsoft’s technology stack (Azure, SharePoint, Co-Pilot), containerization (Docker, Kubernetes), and retrieval-augmented generation (RAG).

Familiarity with AI orchestration platforms such as Azure Machine Learning, Databricks, and MLflow.

Deep understanding of AI / ML algorithms, frameworks, and lifecycle management (MLOps).

Competence in security best practices (Azure Security Center, Azure Key Vault).

Excellent interpersonal, communication, and consultative problem-solving skills.

Certifications in cloud technologies (Azure) or relevant AI / ML certifications strongly preferred.

Please note :

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