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$98k–$163k/yr
Full-time
bachelor degree, postgraduate degree
Medical Insurance, Rx Insurance, Dental Insurance, Vision Insurance, Personal And Family Sick Time, Company Paid Holidays
Posted 16d ago
~40 hrs/week
Responsibilities
Build, test, and deploy AI applications and services, including the implementation of data and ML pipelines and agentic workflows. Collaborate with cross-functional teams to deliver POCs/MVPs and harden them for production scale while following responsible AI practices.
Requirements
Requires US citizenship, a bachelor's degree, and at least three years of software or ML engineering experience. Candidates must have at least one year of hands-on experience with Generative AI and proficiency in a major cloud platform.
Full job description
Job Family:
Engineering Consulting
Travel Required:
Up to 10%
Clearance Required:
None
What You Will Do:
Build, test, and deploy AI applications and services, translating solution designs and reference architectures into working, demo-ready components.
Implement data and ML pipelines (ingest, transform, feature stores, vector indexes) and wire up retrieval-augmented generation (RAG) and agentic workflows.
Package and serve models (LLMs and traditional ML) via APIs and microservices using containers and orchestration (e.g., Docker, Kubernetes).
Stand up and maintain cloud resources and AI platforms (AWS, Azure, GCP; Palantir; Databricks), including CI/CD, IaC (e.g., Terraform), secrets, and observability.
Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into applications and services.
Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale.
Contribute to demos, technical documentation, and solution content for proposals and pitch materials.
Follow responsible AI practices and security/compliance requirements across commercial and public sector environments.
What You Will Need:
US Citizenship is required
Bachelor’s degree is required.
Minimum THREE (3) years of experience in software, data, or ML engineering, including building and operating cloud-native services.
Minimum ONE (1) year of hands-on experience with Generative AI and/or agentic patterns (e.g., RAG, function/tool calling, prompt orchestration).
Proficiency with at least one major cloud (AWS, Azure, or GCP) and modern DevOps practices (Git, CI/CD, containerization, infrastructure as code).
Serve as a forward deployed engineer, collaborating with data scientists, platform engineers, and product teams to rapidly iterate on solutions, deliver POCs/MVPs, and harden them for production scale.Familiarity with vector databases and embeddings and LLM application frameworks.
Ability to troubleshoot production systems (logs, metrics, traces), write clear documentation/runbooks, and collaborate in cross-functional teams.
Growth mindset with interest in expanding into broader architecture responsibilities over time.
What Would Be Nice To Have:
Ability to obtain and maintain a Federal or DoD SECRET security clearance; active clearance preferred.
Certifications in cloud architecture, DevOps, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes).
Experience contributing to client-facing engineering in consulting or product environments.
Master’s degree
The annual salary range for this position is $98,000.00-$163,000.00. 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.
Related keywords
AI EngineerGenerative AIRAGLLMAWSAzureGCPPalantirDatabricksDockerKubernetesTerraformCI/CDIaCVector IndexesEmbeddings
Empowering our clients to meaningfully shape the future.
Industry
Business Consulting and Services
Company size
10,001+ employees
Headquarters
McLean, Virginia
LinkedIn followers
294,337
Total funding
$750K
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.
Offices: 1676 International Dr, 800, McLean, Virginia 22102, US · 1800 Tysons Blvd, McLean, Virginia 22102, US · 1000 Wilson Blvd, Suite 1400, Arlington, Virginia 22209, US · 111 Congress Ave, Suite 2500, Austin, Texas 78701, US · 125 High St, Suite 401, Boston, Massachusetts 02110, US
Based on 7653 listings with disclosed salaries, most technology jobs in Virginia pay between $87k–$215k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Virginia right now?
There are currently 10,229 open technology positions in Virginia listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include Amazon, Capital One, Booz Allen Hamilton, CACI International Inc, General Dynamics Information Technology, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Virginia?
Yes — 3421 of the 10229 open technology positions offer remote or hybrid work (1233 remote, 2188 hybrid).
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