## Forward Deployed AI EngineerApply: US - VA, McLean: US - Remote (Any location): Full time: Posted Today: 46285**Job Family:**Data Science Consulting**Travel Required:**Up to 10%**Clearance Required:**Ability to Obtain Public Trust**What You Will Do:** As a **Forward Deployed AI Engineer**, you will work directly with clients, technical leads, and multidisciplinary delivery teams to turn complex business and mission needs into practical AI solutions.You will combine **hands-on software engineering, generative and agentic AI development, problem-solving, and client interaction** to rapidly prototype, build, integrate, test, and improve solutions in real-world environments. You will work alongside senior Forward Deployed Engineers and technical leads while developing deeper expertise in forward deployed engineering practices and client delivery. **Forward Deployed Engineering & Solution Delivery*** Work directly with clients and technical leads to understand workflows, technical challenges, user needs, and opportunities for applying AI.* Translate business, mission, and user requirements into technical designs, prototypes, and working solutions.* Design, prototype, test, and deploy generative AI and agentic AI applications in enterprise environments.* Build AI solutions using large language models, APIs, developer tooling, enterprise data, and modern application development practices.* Develop agentic solutions incorporating **Model Context Protocol (MCP), agent-to-agent (A2A) communication, retrieval-augmented generation (RAG), tool use, structured outputs, context management, orchestration, and human-in-the-loop patterns**.* Participate in client discovery sessions, technical working sessions, demonstrations, and solution design discussions.* Gather feedback from users and stakeholders and rapidly incorporate that feedback into working solutions.* Troubleshoot technical issues and collaborate with client and delivery teams to identify practical solutions.* Explore emerging AI technologies and identify innovative ways to apply them to real-world business and mission problems. **Engineering & Integration*** Build and maintain integrations with enterprise systems, services, APIs, databases, data sources, and workflow tools.* Develop AI applications and agents that interact with enterprise data, tools, systems, APIs, and other agents.* Build **MCP-based integrations** connecting AI applications and agents with tools, services, enterprise systems, and data sources.* Implement **A2A and multi-agent patterns** supporting communication and coordination among specialized agents.* Build **RAG solutions**, including knowledge retrieval, embeddings, vector search, grounding, and integration with enterprise content and data.* Develop agentic workflows using tool use, structured outputs, context management, orchestration, and human review where appropriate.* Apply modern software engineering practices to develop reliable, maintainable, testable, and well-documented solutions.* Work with relational databases, vector stores, APIs, and other data storage and retrieval technologies.* Support testing, evaluation, logging, monitoring, and troubleshooting of AI-enabled applications and agentic workflows.* Participate in code reviews, technical design reviews, and other engineering quality practices. **Client Delivery & Problem Solving*** Communicate effectively with technical and non-technical client stakeholders.* Ask effective questions to understand client problems, workflows, constraints, and desired outcomes.* Explain technical concepts, prototypes, and solution approaches clearly to client stakeholders.* Participate in client demonstrations, technical discovery, and working sessions.* Work effectively in environments where requirements may be ambiguous, evolving, or initially undefined.* Apply creative and analytical thinking to break complex problems into manageable technical solutions.* Rapidly evaluate new technologies, patterns, and approaches and determine how they may apply to client needs.* Collaborate with senior engineers and client stakeholders to evaluate technical options, risks, and trade-offs.* Incorporate client and user feedback into solution design and implementation. **FDE Development & Collaboration*** Work with senior Forward Deployed Engineers and technical leads to develop strong FDE skills and delivery practices.* Apply FDE best practices related to discovery, problem decomposition, requirements translation, rapid prototyping, solution design, implementation, testing, demonstrations, and knowledge transfer.* Participate in pair programming, code reviews, architecture discussions, and technical learning activities.* Contribute reusable code, technical patterns, accelerators, documentation, and lessons learned to improve future implementations.* Share knowledge with other engineers and contribute to a collaborative engineering culture.* Demonstrate curiosity and a willingness to rapidly learn new AI technologies, engineering patterns, client domains, and business processes. **What You Will Need:*** Must be able to OBTAIN and MAINTAIN a Federal PUBLIC TRUST; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.* THREE (3+) or more years of overall work experience.* Experience in software engineering, AI/ML engineering, data engineering, solution engineering, or a related technical role.* Experience performing forward deployed engineering or comparable client-facing technical delivery, including working directly with users or clients to translate business or mission needs into working technical solutions.* Hands-on experience building generative AI, large language model, or agentic AI solutions.* Hands-on experience developing solutions using Claude APIs, Claude for Enterprise, Claude Code, tool use, Custom Skills, or comparable enterprise large language model platforms and developer tooling.* Hands-on experience with Model Context Protocol (MCP) and its use in connecting AI applications or agents with tools, services, data sources, or enterprise systems.* Experience with agent-to-agent (A2A) or multi-agent solution patterns, including communication or coordination among multiple agents.* Hands-on experience developing retrieval-augmented generation (RAG) solutions, including retrieval, embeddings, vector search, and grounding LLM applications with enterprise data or content.* Experience developing agentic workflows incorporating tool use, structured outputs, context management, orchestration, and human-in-the-loop patterns.* Strong software development skills using modern programming languages, APIs, services, and application development frameworks.* Experience integrating applications with APIs, databases, data sources, or enterprise systems.* Understanding of modern software engineering practices, including source control, testing, debugging, code review, documentation, and maintainable code development.* Strong client communication and interpersonal skills, including the ability to explain technical concepts to both technical and non-technical audiences.* Ability to work effectively with clients and multidisciplinary teams in environments with evolving or ambiguous requirements.* Demonstrated curiosity, innovative thinking, creative problem-solving, and ability to learn and apply new technologies quickly.* Strong written and verbal communication skills.* US Citizenship is contractually required. **What Would Be Nice to Have:*** Bachelor’s degree from an accredited university.* Prior experience working as a Forward Deployed Engineer, Forward Deployed Software Engineer, Forward Deployed AI Engineer, or in a similar client-embedded engineering role.* Additional hands-on experience developing Claude-based solutions, including Claude Code, API development, tool use, Custom Skills, or Model Context Protocol.* Anthropic Academy coursework or certificates in areas such as AI Fluency, API development, Model Context Protocol, Claude Code, or related platform topics.* Anthropic partner training or certification experience, or equivalent platform-focused training.* Experience building end-to-end agentic AI applications from prototype through implementation.* Experience with testing and evaluation of generative AI or agentic AI systems, including validation, quality review, or regression testing.* Experience with relational databases, data modeling, vector databases, or modern data platforms.* Experience with cloud environments such as AWS, Microsoft Azure, or Google Cloud.* Familiarity with AI safety, security, privacy, governance, and responsible AI practices.* Experience with logging, monitoring, tracing, or observability for applications or AI-enabled systems.* Experience delivering technology solutions in federal, regulated, or other complex enterprise environments.* Experience delivering technology, data, AI, or digital solutions in healthcare, life sciences, public health, or other health-related environments.* Familiarity with regulated health environments and considerations related to data privacy, security, governance, and responsible use of AI.* Interest in continuing to develop expertise in forward deployed engineering, agentic AI, and client-facing technical delivery.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