GenAI LLM Specialist

Role: LLM / AI Prototyping Specialist (Atlas Consulting Team) Who You Will Be Working For

Atlas is a global strategic consulting firm focused on the life sciences industry. Our services span Management Consulting, Managed Services, and Agile Services. Leading global pharmaceutical organizations and emerging innovators rely on Atlas consultants to help them build the capabilities needed to succeed in highly complex, regulated environments.

You will help stand up and scale early-stage LLM and agent-based solutions as part of a Life Sciences Cloud transformation program. This role focuses on rapid prototyping and maturation of AI-powered assistants that support internal users through training, hypercare, and operational enablement—particularly over large volumes of unstructured content.

You will translate ambiguous business needs into concrete LLM behaviors, design retrieval-augmented generation (RAG) solutions, and collaborate closely with training, product, field, and engineering stakeholders to deliver practical, high-impact AI capabilities.

This is a contract role, remote-first, with NYC or Collegeville proximity as a nice-to-have.

• Design, prototype, and iterate on LLM-powered assistants for training, hypercare, and operational enablement use cases
• Convert loosely defined requests (e.g., "how-do-I assistant" or knowledge companion) into clear conversational flows, system prompts, and grounding strategies
• Build and tune RAG pipelines over unstructured document sets, including:
  • Document chunking strategies
  • Metadata and tagging design
  • Vector search relevance tuning
• Ensure retrieval logic, prompt design, and response behavior are tuned holistically
• Take prototypes from proof-of-concept to more robust, enterprise-ready solutions by:
  • Designing evaluation datasets and test cases
  • Iterating to improve accuracy, consistency, and latency
• Partner with training, product, and field stakeholders to operationalize content and prioritize high-value use cases
• Collaborate effectively with platform and data engineers within an enterprise application ecosystem
• Focus on pragmatic, "base-hit" AI use cases that measurably improve day-to-day workflows for end users

• 2–3+ years of hands-on experience with GPT-class models or equivalent LLMs
• Strong expertise in prompt engineering, system prompt design, and grounding strategies
• Practical experience building retrieval-augmented generation (RAG) systems over unstructured content
• Clear understanding of how chunking, retrieval, and prompting interact as a system
• Experience embedding LLM capabilities into enterprise applications (e.g., Salesforce, Service Now, Dynamics, SAP, or custom internal platforms)
• Experience working in or adjacent to regulated environments (life sciences, healthcare, or financial services preferred)
• Ability to operate independently in a fast-moving, prototype-driven environment
• Strong communication skills and comfort working directly with non-technical stakeholders
• Mid-to-senior level individual contributor profile

• Familiarity with Salesforce AI capabilities, including Agent Force or Einstein
• Prior work on training assistants, hypercare tools, or knowledge-based AI companions
• Familiarity with AWS fundamentals (e.g., S3, Lambda) and data pipelines
• Life sciences, pharma, or other highly regulated industry experience

• Opportunity – Atlas has deep life sciences roots and a strong reputation for delivering high-quality consulting talent
• Meaningful Work – Contribute to initiatives that support patient-first missions
• Culture – Proactive, accountable, and high-touch
• Stability – Over 23 years of delivering exceptional consulting services
• Trusted Partnerships – Clients rely on Atlas to design and deliver outcome-driven teams
• Support – An experienced A-team behind you, focused on your success

If you are exceptional and interested in joining a high-growth life sciences consulting firm, we'd like to hear from you. Atlas consultants work on impactful initiatives across leading global organizations and emerging innovators in the life sciences space.

Atlas is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, genetics, disability, age, or veteran status. We are committed to fostering a diverse, inclusive workplace where everyone has the opportunity to succeed.