AI Engineer

Burtch Works; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Discretionary annual bonus

Fully remote work

Career growth

Health benefits

Retirement plan

Paid time off

Job summary

Burtch Works seeks an AI Engineering Lead to design, build, and deploy next-generation AI and analytics solutions for clients. You will work at the intersection of data engineering, ML engineering, and client delivery, translating analytical concepts into scalable production-ready applications.

The ideal candidate is a builder who thrives in a fast-paced consulting environment, communicates clearly with clients, and leverages modern technologies to deliver innovative solutions.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 5+ years of experience in software or AI engineering, data engineering, or a related technical discipline.
• Strong SQL, Python and cloud analytics skills.
• Production experience with Databricks and Snowflake.
• Experience building AI-enabled applications and ML/analytics methodologies.
• Excellent communication and client-facing skills.

Responsibilities

• Design and develop AI-enabled analytics applications utilizing modern cloud platforms.
• Build and maintain scalable data pipelines, semantic layers, and data products.
• Develop machine learning, optimization, and decision-support solutions for client engagements.
• Work within Databricks and Snowflake environments to deliver production-ready apps.
• Collaborate with stakeholders to translate analytical outputs into actionable recommendations.
• Apply prompt engineering and LLM workflows to accelerate value for clients.
• Partner with cross-functional teams to deliver high-impact client solutions.

Skills

SQL

Databricks

Snowflake

Python

AI applications

ML methods

Prompt engineering

Cloud analytics

Client-facing

Marketing analytics

Claude/OpenAI

Semantic layers

Consulting

Education

Bachelor's degree in Computer Science/Engineering or related field

Master's degree in Computer Science preferred

Job description

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 Title: AI Engineering Lead

Location

Remote (Preferred: Boston, MA area)

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.