Jobs › Companies › Guidehouse › Technical Lead, Full-Stack Engineering – AI-Native Solutions

About this Technical Lead, Full-Stack Engineering – AI-Native Solutions role at Guidehouse

Guidehouse · Onsite · US - VA, McLean

Job Family:

Software Development & Support


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

Build, test, deploy, and maintain secure, scalable full-stack enterprise software within Guidehouse’s Chief Transformation Officer (CXO) organization, supporting AI Transformation, Solution Studio, and other strategic CXO initiatives. This is a hands-on engineering role with technical leadership responsibilities: you will write and ship production code while guiding the technical direction of a workstream or small team. You will use AI coding assistants and agents throughout software development, with human review and verification, and incorporate generative AI capabilities where they add value. Working closely with Technical Product Managers and architects, you will deliver reliable, maintainable applications and help other engineers grow through code reviews, pairing, and day-to-day technical guidance.

  • Build, test, deploy, and maintain secure, scalable full-stack enterprise applications; lead technical delivery of a workstream or component and deliver production-scale solutions or prototypes and MVPs as the assignment requires.
  • Build end-to-end applications, including usable front-end experiences, backend services and APIs, data persistence, enterprise integrations, and authentication and authorization; contribute to technical design and propose solutions to complex problems.
  • Use AI coding assistants and agents for implementation, refactoring, testing, debugging, and documentation; review and validate generated code and outputs for correctness, security, and maintainability, and help the team adopt effective AI-assisted development practices.
  • Engineer for performance, reliability, scalability, and maintainability; lead code reviews for your workstream and validate behavior through automated tests and representative workloads.
  • Integrate generative AI, retrieval-augmented generation (RAG), agents, and tool calling when fit for purpose; design and run evaluations of solution quality, latency, cost, and security before scaling.
  • Collaborate with Technical Product Managers and architects to shape requirements, break down and estimate engineering work, and communicate technical tradeoffs, dependencies, and delivery risks.
  • Deploy and operate cloud-native solutions using automated testing, CI/CD, infrastructure as code, and observability; implement enterprise security, privacy, and responsible AI controls.
  • Monitor and troubleshoot deployed solutions; maintain technical documentation and support runbooks, and lead production readiness and handoff with IT and business owners for your workstream.
  • Provide technical leadership for a workstream or small team: guide technical approach, unblock other engineers, and keep work aligned with design and quality standards.
  • Mentor junior engineers through pairing, code reviews, and day-to-day technical guidance; contribute to reusable components and shared engineering practices across CXO teams.

What You Will Need:

  • Bachelor’s degree; Four (4) years additional professional experience may be substituted in lieu of degree. 
  • Minimum six (6) years of software engineering experience, with demonstrated delivery of production full-stack applications, experience deploying and operating cloud-native services, and experience guiding the technical work of other engineers.
  • Advanced hands-on proficiency with JavaScript/TypeScript and a modern front-end framework, plus Python or another backend language; strong experience with APIs, databases, authentication, and enterprise integrations.
  • Strong practical experience using AI coding assistants or agents, with the ability to give clear instructions, critically review generated code, validate behavior through tests and debugging, and share effective practices with others.
  • Minimum one (1) year of hands-on experience integrating generative AI or agent capabilities into applications, including designing and running evaluations and understanding their limitations.
  • Experience with a major cloud platform, Git, automated testing, CI/CD, containers, and infrastructure as code; ability to troubleshoot complex issues using logs, metrics, and traces.
  • Experience serving as technical lead for a workstream or small team, including leading code reviews, contributing to design decisions, and guiding other engineers.
  • Strong written and verbal communication skills: explain technical concepts and tradeoffs to technical and nontechnical audiences, demonstrate working solutions, ask clarifying questions, communicate progress and risks clearly, and engage professionally and credibly in stakeholder and client discussions.

What Would Be Nice To Have:

  • Experience in client-facing solution engineering or consulting, or in enterprise transformation within a matrixed organization.
  • Familiarity with workflows and regulatory requirements in Guidehouse industries: Healthcare; Financial Services; Communities, Energy & Infrastructure; and Defense & Security.
  • Experience delivering production-scale solutions with demanding performance or reliability requirements, or developing reusable components and AI-assisted delivery practices.
  • Experience mentoring engineers or contributing to engineering standards, communities of practice, or technical interviewing.
  • Relevant cloud, DevOps, or AI certifications.
  • Master’s degree in relevant technical or business discipline.

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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How this Tech Lead salary compares

This role pays $150,500/yr — in line with the typical range for Tech Lead roles.

$103,657 median $164,000 $235,000

Typical range $132,000–$197,500/yr, from 2,447 comparable Tech Lead listings on JobsRadar (pay annualized to USD). See Tech Lead salary insights →

About Guidehouse

Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com

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