Job description

Every moment of every day, people around the world rely on the energy they access through infrastructure built by Quanta. Comprising the largest skilled-labor force in North America, our employees are highly skilled and innovative, continually working to connect people and power. We’re building the infrastructure that supports the energy transition, and there are more opportunities than ever to be part of our team. Join us and build your career building a brighter future. Imagine what you could do here. We encourage, inspire, and support our people to seize opportunities in our corporate office and with hundreds of our operating companies worldwide that provide solutions for the utility, renewable energy, electric power, industrial, and communications industries. Quanta actively promotes and maintains a culture of belonging where all employees can be themselves, live their values, and find opportunities to succeed. When you join our team, you join a dynamic organization in which career development is encouraged, excellence is rewarded, and diversity is prized. Come find out how our people power modern life. The Lead Forward Deployed Engineer (Lead FDE) is a hands-on technical team lead who guides a small pod of Forward Deployed Engineers through the delivery of high-impact solutions — from discovery to production — for Quanta’s operating companies. You will own day-to-day execution on a single active project at a time, setting technical direction, coordinating the work of 2–4 engineers, and personally contributing to the codebase alongside them. Unlike the Forward Deployed Engineering Manager, who shapes architecture across multiple initiatives, the Lead FDE is embedded in the details of one engagement: translating ambiguous business needs into shipped software, unblocking the team, and serving as the primary technical point of contact for stakeholders. Unlike an individual Forward Deployed Engineer, you are accountable not only for your own output but for the quality, velocity, and coherence of the whole pod’s work. This is a working lead role. You are expected to spend the majority of your time building — writing production code, prototyping with AI-assisted tooling, and pairing with engineers — while also planning, reviewing, mentoring, and communicating outcomes to business partners. • Lead a pod of Forward Deployed Engineers through end-to-end delivery of a single project, from problem framing to production hand-off. • Partner directly with business leaders, domain experts, and operating-unit stakeholders to understand needs and shape scope. • Translate ambiguous requirements into a concrete delivery plan with clear, testable milestones. • Write production-ready code as a hands-on contributor on the project, not just as a reviewer. • Make day-to-day technical decisions (frameworks, integrations, data models, deployment targets) and escalate architectural calls to the FDEM when needed. • Run code reviews, pairing sessions, and working sessions that raise the team’s technical bar. • Use AI-assisted development tools (GitHub Copilot, Claude, ChatGPT, and similar) to accelerate delivery and bring best practices back to the broader FDE team. • Identify risks, dependencies, and blockers early — and drive the team through them. • Deploy applications to production and coordinate post-deployment support, monitoring, and iteration with SMEs. • Mentor Forward Deployed Engineers through pairing, feedback, and targeted coaching on craft and consulting skills. • Document design decisions, reusable components, and lessons learned to support scale and knowledge-sharing across the FDE practice. • Represent the pod in status reviews, demos, and retrospectives with stakeholders and Data & AI leadership. • Stay current with emerging AI tools and development practices and pilot their adoption within your project. • Perform other duties as assigned. • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. • 8–12 years of experience in software development, systems integration, or technical consulting, with recent hands-on delivery experience. • At least 2 years in a technical lead, tech lead, or senior engineer capacity guiding the work of other engineers on a shared project. • Advanced proficiency in at least one modern programming language (e.g., Python, TypeScript, JavaScript, Go, Java). • Solid grounding in software architecture patterns, API design, data modeling, and full-stack or backend delivery. • Fluency in at least one major cloud environment (AWS, Azure, or GCP) and modern development practices (CI/CD, containers, version control workflows, testing). • Demonstrated experience applying AI tooling (e.g., Copilot, ChatGPT, Claude, vector search, prompt engineering, RAG patterns) in real delivery workflows. • Track record of shipping production software on tight timelines in a consultative or embedded setting. • Experience mentoring engineers and running effective code reviews. • Excellent communication skills, with the ability to translate between business stakeholders and engineers and to represent technical tradeoffs clearly. Preferred Education and Experience • Experience delivering AI, automation, or data-intensive applications in enterprise environments. • Experience working within large, decentralized organizations or multi-site enterprise environments. • Background in utility, energy, renewables, construction, or specialty contracting industries. • Prior experience in a Forward Deployed Engineer, solutions engineer, or delivery consultant role. Licenses / Certifications Required N/A Preferred Cloud architecture or AI/ML certifications (AWS, Azure, GCP, or equivalent). Supervisory Responsibilities • Supervises others: No (technical leadership; no direct reports) • Has hiring and terminating responsibilities: No (contributes to interviews and hiring recommendations) • Number of employees reporting to this job: 0 Subordinate Supervisory Employees, 0 Non-Supervisory Employees • Competitive compensation and benefits package • Flexible work options • Educational assistance • Wellness and Mental Health programs • Paid Parental Leave • Employee Referral Program • Volunteer Time Off • Learning and Development Programs • Office Amenities and Perks All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law. We are an Equal Opportunity Employer, including disability and protected veteran status. We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department. Not ready to apply? Connect with us for general consideration.

Requirements

Must-haves

Lead a pod of Forward Deployed Engineers through end-to-end delivery of a single project, from problem framing to production hand-off.
Partner directly with business leaders, domain experts, and operating-unit stakeholders to understand needs and shape scope.
Translate ambiguous requirements into a concrete delivery plan with clear, testable milestones.
Write production-ready code as a hands-on contributor on the project, not just as a reviewer.
Make day-to-day technical decisions (frameworks, integrations, data models, deployment targets) and escalate architectural calls to the FDEM when needed.
Run code reviews, pairing sessions, and working sessions that raise the team’s technical bar.
Use AI-assisted development tools (GitHub Copilot, Claude, ChatGPT, and similar) to accelerate delivery and bring best practices back to the broader FDE team.
Identify risks, dependencies, and blockers early — and drive the team through them.
Deploy applications to production and coordinate post-deployment support, monitoring, and iteration with SMEs.
Mentor Forward Deployed Engineers through pairing, feedback, and targeted coaching on craft and consulting skills.
Document design decisions, reusable components, and lessons learned to support scale and knowledge-sharing across the FDE practice.
Represent the pod in status reviews, demos, and retrospectives with stakeholders and Data & AI leadership.

Nice-to-haves

Preferred Education and Experience
Cloud architecture or AI/ML certifications (AWS, Azure, GCP, or equivalent).
Supervisory Responsibilities
Supervises others: No (technical leadership; no direct reports)
Has hiring and terminating responsibilities: No (contributes to interviews and hiring recommendations)
Number of employees reporting to this job: 0 Subordinate Supervisory Employees, 0 Non-Supervisory Employees
Competitive compensation and benefits package
Flexible work options
Educational assistance
Wellness and Mental Health programs
Employee Referral Program
Volunteer Time Off

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythontypescriptjavascriptgojavaapiawsazuregcpci/cdml

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Parental Leave

Wellness