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Agentic AI Engineer

Vantage Compute · United States · Posted 13d ago

remotesenior5-8 yrsEstimated 113k-258k USD🇺🇸 United States
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About the role

Design, develop, and deploy AI models and systems to enhance productivity and decision-making.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language) Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization. If you have one+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we WANT YOU! MEANINGFUL WORK AND PERSONAL IMPACT As an Agentic A I Engineer, the work you’ll do at GDIT will be impactful to the mission. Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Agentic AI Engineer must have: Education : Bachelor’s Degree in Computer Science, Computer Engineering, Data Science or a related field Experience : 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems. 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies. Must have designed and/or implemented hands-on an agentic workflow solution (not just simply prompt engineering to LLMs) Role requirements : Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes. Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch. Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks. Deep understanding of prompt or context engineering, tool definition, and state management for agents. Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI. Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation. Preferred Skills and Abilities: Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable Location: Remote US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth : AI-powered career tool that identifies career steps and learning opportunities Support : An internal mobility team focused on helping you achieve your career goals Rewards : Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility : Full-flex work week to own your priorities at work and at home Community : Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #GDITPriority #gditAIJOBS The likely salary range for this position is $161,500 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To

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FAQ

Is the Agentic AI Engineer role at Vantage Compute remote?+

This Agentic AI Engineer position is listed as remote (United States).

What is the salary for the Agentic AI Engineer role at Vantage Compute?+

The listing states Estimated 113k-258k USD.

What seniority level is this Agentic AI Engineer role?+

This is a senior level position.

How do I apply for the Agentic AI Engineer role at Vantage Compute?+

Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Vantage Compute.