AI Solutions Engineer - Life Sciences

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/26/2026.

Work You'll Do

As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

• Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clients
• 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 to hands-on solution delivery across distributed teams
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

• 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 related field
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred:

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.