Forward Deployment Agentic Engineer

What You Will Do

• Build and support agentic AI solutions using Claude, API integrations, and modern application development practices.
• Translate business and workflow needs into practical technical designs and working prototypes including Custom Skills.
• Develop reliable agent workflows that use tools, structured outputs, retrieval, and human review where appropriate.
• Contribute to the design of solution patterns that balance usability, performance, maintainability, and safety.
• Build and maintain integrations with internal and external systems through APIs, services, and data pipelines.
• Support read-oriented and low-risk workflow integrations with common business systems and internal applications.
• Work with relational databases and related data storage patterns to support application state, retrieval, and auditability.

What You Will Need

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "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.
• Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Four (4) or more years of experience in software engineering, data engineering, analytics engineering, or a related technical role.
• TWO (2) years of recent, hands-on experience building GenAI, LLM, or agentic solutions.
• Experience with Claude API, Claude for Enterprise, Claude Code, tool use, or similar LLM platforms.
• Experience building and integrating applications through APIs, services, or workflow automation.

What Would Be Nice To Have

• Anthropic Academy coursework or certificates in areas such as AI Fluency, API development, Model Context Protocol, Claude Code, or related Claude platform topics.
• Experience building reliable, maintainable, and well-documented code.
• Anthropic partner training or certification experience, or equivalent Claude-focused credentialing.
• Working knowledge of relational databases and basic data modeling concepts.
• Experience with cloud environments such as AWS, Azure, or Google Cloud.
• Experience with retrieval-augmented generation (RAG), embeddings, or vector search.
• Familiarity with agentic workflow patterns, orchestration, and human-in-the-loop designs.
• Exposure to evaluation practices for AI systems, including testing, validation, and quality review.
• Familiarity with logging, monitoring, and observability for application services.
• Experience supporting internal platforms, client implementations, or enterprise software delivery.
• Strong interest in building practical AI solutions that are useful, trusted, and easy to maintain.

Pay

The annual salary range for this position is $70,000.00-$116,000.00. 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.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus