This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Software Engineer, AI Enablement based in United States.
As a Lead Software Engineer on the AI Enablement team, you will help teams across the organization turn AI into practical improvements to everyday workflows.
You will shape a portfolio of initiatives, prioritize opportunities, and guide engineers from workflow discovery through scalable technical solutions.
The role combines technical leadership, product thinking, coaching, and hands-on collaboration with diverse business and engineering partners.
You will help transform lessons from real-world AI adoption into reusable platform capabilities and repeatable practices.
Your work will connect AI platform development with product engineering, data, security, and business priorities.
You will also help establish responsible and effective approaches to AI adoption while making outcomes measurable and visible.
This is an opportunity to influence how a growing organization uses AI while creating capabilities that deliver value well beyond individual projects.
Accountabilities:
- Shape and manage a quarterly portfolio of embedded AI enablement engagements, prioritizing opportunities where AI can deliver meaningful business and workflow leverage.
- Guide initiatives from workflow discovery and platform exploration through requirements definition, delivery, adoption, and reusable AI platform improvements.
- Identify opportunities to turn successful engagements into scalable capabilities, adoption patterns, playbooks, and repeatable team practices.
- Protect engineering capacity for high-leverage work that creates compounding value across the organization.
- Coordinate AI Platform, product engineering, data, security, and business stakeholders around opportunities requiring shared investment.
- Establish repeatable engagement models and practical playbooks that make successful AI adoption easier for teams across the organization.
- Lead and coach engineers, helping them combine strong technical judgment with curiosity, empathy, and clear communication.
- Make complex AI concepts understandable to technical and non-technical stakeholders and create shared context around priorities and decisions.
- Track and communicate engagement outcomes, adoption progress, blockers, and next steps to stakeholders and leadership.
- Balance multiple initiatives and cross-team dependencies while maintaining focus on the highest-impact work.
Requirements:
- 5+ years of professional software engineering experience.
- At least 1 year of experience leading software teams or significant technical initiatives.
- Demonstrated ability to lead team-level delivery of customer-facing or internal technical solutions.
- Strong practical knowledge of AI tools and technologies, with sound judgment around responsible AI deployment and organizational adoption.
- Strong product instincts, including the ability to assess opportunities, define success criteria, prioritize work, and make effective quarterly tradeoffs.
- Experience working directly with varied users and stakeholders to understand workflows and influence improvements in processes and outcomes.
- Ability to manage multiple engagements, cross-functional relationships, and technical dependencies while protecting team capacity and focus.
- Proven coaching mindset and experience helping engineers strengthen their technical judgment, communication, and collaborative practices.
- Excellent written and verbal communication skills, with the ability to create clarity and alignment across engineering and business teams.
- Strong curiosity, empathy, and adaptability, particularly when working through ambiguous problems and emerging technologies.
- Ability to translate field learning into clear technical requirements and scalable platform opportunities.
Benefits:
- Base salary: $164,200–$240,000 annually.
- Eligibility for a competitive bonus.
- Equity offering.
- Flexible “work where it works best” approach, with the ability to work remotely from locations across the United States.
- Opportunity to work at the intersection of software engineering, AI adoption, platform development, and product innovation.
- Significant ownership and influence over AI enablement priorities and engineering practices.
- Opportunities to coach engineers and shape scalable approaches to AI adoption across the organization.
- Collaborative environment spanning engineering, data, security, product, and business teams.
- Reasonable accommodations available throughout the hiring process for qualified candidates with disabilities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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