AI Solutions Architect - Life Sciences

Join the AI & Engineering team to transform technology platforms, drive innovation, and make a significant impact on clients’ success. You’ll work alongside talented professionals re‑imagining and re‑engineering critical business operations and processes, helping clients improve financial performance, accelerate digital ventures, and fuel growth through innovation.

Work you’ll do

• Lead the design and delivery of AI solutions for Life Sciences client engagements.
• Lead small engagements or key workstreams within large, complex data and analytics transformations.
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms.
• Manage day‑to‑day stakeholder relationships and align technical delivery to business and program objectives.
• Oversee quality of team deliverables and recommendations while contributing hands‑on solution delivery across distributed teams.
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners.

Team

The AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced data and AI platforms, products, insights, and services. The team helps clients innovate, enhance, and manage their data, AI, and analytics capabilities to grow and scale effectively across the health ecosystem.

Qualifications

• 6+ years hands‑on experience delivering AI solutions for Life Sciences.
• 1+ years hands‑on experience with AI/GenAI solution architecture, especially agentic systems and LLM‑enabled applications.
• 1+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool‑use architectures.
• 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails.
• 2+ years experience leading, managing, and delivering complex AI solutions engagements.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
• Ability to travel up to 50% on average, based on work and client needs.
• Limited immigration sponsorship may be available.

Preferred qualifications

• Life Science R&D AI solutions experience.
• Experience in consulting and client‑facing delivery roles.
• Experience creating critical collaterals for client workshops and interactive sessions.
• Experience presenting technical content to both large and small audiences.

Compensation

The estimated salary range for this role is $141,200 to $278,300, reflecting factors such as skill set, experience, training, licensure, certifications, and business needs. Compensation decisions are made on a case‑by‑case basis and are not typically at the top of the range. Eligible employees may also participate in a discretionary annual incentive program, subject to program rules and performance.