Forward Deployed AI/ML Engineer IV
E Source · Remote · United States · $175k–$200k
Posted by E Source on their careers site · View the original posting
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The posting, as E Source wrote it
At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for a Forward Deployed Engineer, AI/ML to help shape how that impact shows up in the world.
E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com http://www.esource.com
As a Forward Deployed Engineer, AI/ML, you’ll join our AI and Data Engineering (AIDE) team and embed directly with our utility clients to understand their hardest operational problems, then build and ship the systems that solve them: production code, in the client’s environment, used by their people, and measured against their outcomes. This role focuses on taking AI from a promising demo to a system a utility’s business runs on: grounded, evaluated, monitored, and trusted by the operators who depend on it.
You’ll own engagements end to end, from technical discovery through architecture, build, deployment, and adoption, with no handoff points in between. Engagements move quickly: expect a useful system running in the client’s environment within weeks, then hardened toward production based on how their teams actually use it. You’ll work closely with client technical teams and executives, and with E Source’s machine learning engineers, data engineers, software engineers, and consultants, to deliver AI solutions for clients and bring field learnings back into our products and practices.
In this role, you will
- Embed with utility clients to design, build, and deploy generative AI (GenAI) and machine learning (ML) systems that solve real operational problems in the client’s environment
- Own the technical architecture of each engagement — retrieval, orchestration, model selection, serving, evaluation, and monitoring — and defend it to client architects and security teams
- Run technical discovery independently, separate the problem as stated from the underlying need, and say so when the requested solution is the wrong one
- Deliver a working, useful system early in each engagement, typically within the first few weeks, then iterate toward production hardening — tactical solutions are legitimate, but undocumented or unowned ones are not
- Design task-specific evaluations before building, define what “correct” means with client subject matter experts, and hold every system to those evaluations before release
- Build retrieval and grounding systems over client data, including structured, unstructured, and graph-backed knowledge sources
- Integrate with client data platforms and business systems, including undocumented and legacy systems
- Instrument
[…]
to grow your skills, contribute to meaningful work, and help shape a company that plays a real role in how the energy future unfolds.
What you can expect
- Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
- A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
- A 401(k) plan with a 3% employer match.
The budgeted salary for this position is $175,000–$200,000 USD + annual bonus. Actual pay will be adjusted based on experience.
This role is remote-based with significant travel to client sites, generally 30 to 50% and varying by engagement, including extended on-site periods during discovery, deployment, and go-live.
Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources.
We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com http://esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.