AI Engineer Senior AI Engineer
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Job Summary
AI Engineer / Senior AI Engineer - AI Solutions & Innovation
Blue Matter is a rapidly growing management consultancy focused in the biopharmaceutical industry. We partner with our clients to help them achieve commercial success across the lifecycle of their products portfolios and organizations. Our project types include providing decision support through insights and analytics for new product planning launch strategy portfolio / disease area strategy and organizational strategy / change management. Most of our work is in specialty therapeutics with oncology and rare diseases a specific area of expertise.
We have a unique entrepreneurial culture and invest in building Blue Matter as the best place to work for our team. We have offices in NY San Francisco Boston London Zurich Mumbai Pune & Gurgaon.
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 teams AI capabilities and stay ahead of industry developments
- Contribute to Blue Matters 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) BE/BTech 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
Required Experience:
Manager
Key Skills
About Company
Blue Matter is a group of management consultants passionate about adding value at every stage of the product and company lifecycle.
