AI Engineer

Job Title: AI Engineering Lead Location: Remote (Preferred: Boston, MA area)

About The Company We are a fast-growing analytics and technology-enabled services firm that helps leading life sciences organizations solve complex business problems through advanced analytics, machine learning, AI, and decision optimization. Our teams partner directly with clients to design and deliver innovative solutions that drive measurable business outcomes. We combine deep analytical expertise with modern cloud technologies to build scalable products and capabilities that help organizations make better decisions faster.

Job Summary We are seeking an AI Engineering Lead to join our growing team and help design, build, and deploy next-generation AI and analytics solutions for our clients. This individual will work at the intersection of data engineering, machine learning, AI engineering, and client delivery, helping transform analytical concepts into scalable production-ready applications.

The ideal candidate is a builder who enjoys solving difficult problems, working directly with clients, and leveraging modern technologies to rapidly develop innovative solutions. This role requires a strong technical foundation, the ability to work independently, and excellent communication skills.

Key Responsibilities

• Design and develop AI-enabled analytics applications utilizing modern cloud and data platforms.
• Build and maintain scalable data pipelines, semantic layers, and data products that support advanced analytics and AI use cases.
• Develop machine learning, optimization, and decision-support solutions for client engagements.
• Work extensively within Databricks and Snowflake environments to build production-ready analytical applications.
• Collaborate with business stakeholders and clients to understand requirements, communicate findings, and translate analytical outputs into actionable recommendations.
• Utilize modern AI technologies, prompt engineering techniques, and LLM-based workflows to accelerate solution development and client value.
• Partner with cross-functional teams including Data Engineering, Data Science, Customer Success, and Product leadership to deliver high-impact client solutions.

Requirements Preferred Qualifications:

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field required. Master’s degree in Computer Science strongly preferred.
• Experience: 5+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or a related technical discipline.
• Skills:
• Advanced SQL development skills
• Strong experience with Databricks
• Strong experience with Snowflake
• Experience building AI-enabled applications and solutions
• Experience with machine learning and advanced analytics methodologies
• Strong programming skills in Python
• Familiarity with prompt engineering and modern LLM technologies
• Experience developing cloud-based analytical solutions
• Other:
• Strong communication and client-facing presentation skills
• Ability to work independently in a fast-paced environment
• Willingness to travel periodically for client engagements and team collaboration
• Demonstrated ability to rapidly learn and apply new technologies
• Experience in marketing analytics, marketing mix modeling, next best action, recommendation engines, or advanced customer analytics.
• Experience building AI-powered applications using Databricks, Snowflake, Claude, OpenAI, or similar technologies.
• Experience architecting semantic layers, metadata frameworks, or enterprise AI solutions.
• Consulting, professional services, or client-facing project experience.

Benefits

• Competitive base salary of $140,000-$180,000+ depending on experience.
• Discretionary annual bonus program based on individual and company performance.
• Fully remote work environment with flexibility and autonomy.
• Opportunity to work directly with senior leadership and clients on cutting-edge AI initiatives.
• Career growth within a rapidly expanding analytics and AI organization.
• Comprehensive health, retirement, and paid time off benefits.