Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine™- an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio.
As an AI Engineer / Senior AI Engineer, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences.
Primary Responsibilities
As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to:
- Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies
- Integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Gemini, Hugging Face) into internal and client-facing applications to deliver intelligent, scalable solutions
- Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations
- Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI
- Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations
- Utilize cloud-service providers (e.g., AWS, Azure, or GCP) including services such as S3, EC2, Lambda, Azure OpenAI, and SageMaker to build and deploy scalable AI solutions
- Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews
- Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows
- Investigate and evaluate emerging AI frameworks, tools, and models to continuously improve the team's AI capabilities and stay ahead of industry developments
- Contribute to Blue Matter's Internal platform rollout and other AI-powered product initiatives in client environments
- Address client questions, gather requirements, and deliver AI-powered solutions aligned with business goals
- Ensure project success through effective collaboration and meeting deadlines using agile delivery model
- Stay current with the latest advancements in AI/ML, LLMs, prompt engineering, RAG, agents, and related technologies, and evangelize best practices across the organization
Desired Experience and Skills
- Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks
- Strong proficiency in Python and experience with AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow)
- Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) into production-grade applications
- Experience building and deploying internal tools and applications (e.g., using Streamlit, Gradio, Flask, FastAPI, or React)
- Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready
- Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions
- Experienced with cloud platforms (AWS, Azure, GCP) and services
- Proficient in API development (RESTful/GraphQL) and version control (e.g., Git)
- Expertise in SQL, Python, and databases
- Familiar with data pipeline tools (e.g., Airflow, dbt) and data warehouse technologies (e.g., Snowflake, Redshift, Databricks)
- Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks
- Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques
- Knowledge of US pharma datasets and healthcare concepts is a plus
- Strong problem-solving, communication, and client-facing skills
- Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet)
- Genuine passion and curiosity for ongoing AI development, with a demonstrated habit of learning and experimenting with new AI tools, models, and techniques
- Excellent communication and presentation skills (internal and client facing)
Preferred Qualifications
- Advanced degree(s) (PhD, MD, MBA, or MS) in Computer Science, AI/ML, Data Science, or a related field
- 4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience
- Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions
- Active contributions to open-source AI projects, personal AI projects, or published research in AI/ML
- Passion for Generative AI and its applications in life sciences and healthcare
Compensation:
Base salary range: $100,000 - $150,000 per year. Generous incentive compensation structure.
Benefits Package:
- 401k - generous employer match with immediate vesting and financial planning resources
- Comprehensive medical, dental and vision coverage options effective day 1 of employment
- Flexible spending account (FSA) or Health Savings Account (HSA)
- Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options
- Paid parental leave for all new parents
- Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually)
- Employee Assistance Program
- Generous paid time off including vacation, sick days, floating and company holidays
