AI Architect

Job Title: AI Architect
Location: Remote
Industry: Pharma / Biotechnology / Life Sciences (Mandatory)
Open Positions: 1

Job Summary

We are seeking an experienced AI Architect to assess, evaluate, and advise on the organization's AI strategy, architecture, and implementation roadmap. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning, and enterprise AI solutions, along with mandatory industry experience in Pharmaceuticals, Biotechnology, or Life Sciences.

The candidate will work closely with business stakeholders, technology leaders, data science teams, and domain experts to identify AI opportunities and recommend scalable, secure, compliant, and business-aligned AI solutions.

Key Responsibilities

• Assess the current AI landscape, technology stack, business processes, and organizational AI maturity.
• Develop and advise on enterprise AI strategy, architecture, and implementation roadmaps.
• Identify and evaluate AI and Generative AI use cases across pharmaceutical, biotechnology, and life sciences operations.
• Design scalable AI/ML architectures, including data pipelines, model deployment, monitoring, and enterprise integration.
• Evaluate AI platforms, frameworks, Large Language Models (LLMs), and cloud-based AI services.
• Recommend AI solutions for drug discovery, pharmaceutical R\&D, clinical trials, pharmacovigilance, regulatory affairs, and scientific research.
• Assess opportunities involving Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation.
• Define AI governance, responsible AI practices, data privacy, security, and model risk management standards.
• Ensure AI architecture aligns with applicable regulatory and compliance requirements, including GxP, FDA 21 CFR Part 11, and other relevant industry regulations.
• Collaborate with business and technical stakeholders to translate business requirements into technical architecture and actionable implementation plans.
• Conduct technology assessments, feasibility studies, and proof-of-concept evaluations.
• Provide recommendations on AI platforms, vendor selection, and build-versus-buy decisions.
• Establish architecture standards, best practices, and success metrics for enterprise AI initiatives.
• Present strategic recommendations and technical roadmaps to senior leadership.

Required Qualifications

• Proven experience as an AI Architect, AI Solutions Architect, Enterprise Architect, or in a similar role.
• Strong understanding of AI/ML, Deep Learning, Generative AI, and Large Language Models (LLMs).
• Experience evaluating AI capabilities and advising on enterprise AI strategy and adoption.
• Experience designing scalable enterprise AI architectures and integrating AI solutions with existing systems.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Understanding of Python, AI/ML frameworks, APIs, data engineering, and model deployment.
• Knowledge of LLM application architecture, prompt engineering, RAG, vector databases, and AI agent frameworks.
• Understanding of data governance, AI security, responsible AI, and model lifecycle management.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to translate business objectives into actionable AI strategies and technical recommendations.

Mandatory Industry Experience

• Candidates must have relevant professional experience in Pharmaceuticals, Biotechnology, or Life Sciences.
• Strong understanding of industry-specific business processes, data, and regulatory requirements.
• Experience assessing or implementing AI solutions in pharmaceutical R\&D, drug discovery, clinical development, clinical trials, pharmacovigilance, regulatory affairs, or other relevant life sciences functions is highly desirable.
• Familiarity with regulated AI environments, GxP systems, and applicable FDA or EMA requirements is an advantage.

Preferred Technical Expertise

• Generative AI and enterprise LLM implementations.
• RAG architectures, vector databases, and AI-powered knowledge management.
• AI/ML platform assessment and cloud-based AI architecture.
• MLOps, model monitoring, and AI lifecycle management.
• AI governance, compliance, security, and responsible AI frameworks.
• Scientific, clinical, pharmaceutical, and life sciences data integration.

Contract Details

• Mandatory Domain: Pharma / Biotechnology / Life Sciences

Note: Candidates without relevant experience in Pharmaceuticals, Biotechnology, or Life Sciences will not be considered.

Pay: $75.00 - $85.00 per hour

Work Location: Remote