Forward Deployed AI/ML Engineer IV

The role

You will embed with utility clients to design, build, and deploy generative AI and machine learning systems. You will own technical engagements from discovery through deployment and adoption to solve operational problems.

What you will do

• Embed with utility clients to design, build, and deploy GenAI and ML systems
• Own the technical architecture of each engagement
• Run technical discovery independently
• Deliver a working, useful system early in each engagement
• Design task-specific evaluations before building
• Build retrieval and grounding systems over client data
• Integrate with client data platforms and business systems
• Instrument systems to measure accuracy, latency, cost, and drift
• Build and deploy the operator-facing application layer
• Manage scope, timeline, and expectations against a statement of work

Required qualifications

• Bachelor’s degree in computer science, engineering, statistics, or a related quantitative field
• Five or more years of engineering experience, including GenAI or ML systems shipped to production
• Expert proficiency in Python
• Working proficiency in at least one of TypeScript, Scala, or Java
• Hands-on production experience with at least one major model provider or open-weights stack
• Experience with one vector or hybrid retrieval system
• Experience building and applying evaluation frameworks for LLM and ML systems
• Experience with LLM operations (LLMOps)
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP)
• Proficiency with Git, Docker, and CI/CD tools
• Experience using AI coding assistants and agentic development tools
• Experience in the energy or utility industry, or another asset-heavy sector

Nice to have

• Master’s degree or PhD in a relevant quantitative field
• Built agent frameworks and tool-calling architectures in production
• Knowledge graph or semantic layer experience
• Fine-tuning, distillation, or prompt optimization experience
• Classical ML experience (forecasting, ranking, anomaly detection)
• Fluent in data engineering: Spark, pipeline design, and lakehouse architectures
• Built and deployed Databricks Apps, or comparable operator-facing applications
• Databricks or cloud AI/ML certifications
• Experience with AWS and Databricks

Benefits

• Medical, dental, and vision plans
• Company-paid life insurance
• Company-paid long- and short-term disability insurance
• Medical and dependent-care flexible spending plans
• Paid parental leave
• Flexible time off (FTO) policy
• 401(k) plan with a 3% employer match

Before you apply

• Applicants must be authorized to work for any employer in the US or Canada
• Unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn)

About the company

E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. Headquartered in Texas, they have 450+ employees.