Senior Enterprise Systems Architect

Unissant
, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort.

We are seeking a Senior Enterprise Systems Architect
, AI/ML Strategist & Evangelist, to join our team and support our federal client in Ashburn, VA.

The ideal candidate is a senior AI/ML thought leader who can connect enterprise strategy, architecture, and hands-on technical execution to real mission outcomes. This individual will lead the adoption and operationalization of AI/ML capabilities across the organization and customer environments, identify high-value opportunities for innovation, and guide secure, scalable implementation of modern AI solutions. The successful candidate will be equally comfortable advising executives, collaborating with cross-functional technical teams, and shaping enterprise roadmaps that align AI investments with broader business, mission, data, infrastructure, and modernization goals.

• Lead enterprise-wide AI/ML strategy, adoption, and roadmap development across programs, customers, and technical teams.
• Identify opportunities where AI/ML can improve mission performance, decision-making, operational efficiency, automation, and customer services.
• Evaluate emerging technologies including Generative AI, Large Language Models, Agentic AI, Retrieval-Augmented Generation, intelligent automation, and related enterprise AI capabilities.
• Design secure, scalable enterprise AI/ML architectures across hybrid-cloud, multi-cloud, and on-premises environments.
• Guide implementation of AI platforms, MLOps environments, data pipelines, vector databases, agent frameworks, and cloud-native AI solutions.
• Partner with engineering, operations, cybersecurity, data, cloud, and enterprise architecture teams to align AI solutions with existing systems and target-state architectures.
• Conduct architecture reviews and technical assessments to ensure solutions align with governance, interoperability, scalability, privacy, and security requirements.
• Build prototypes and proof-of-concept solutions and provide technical leadership, mentoring, and implementation guidance to delivery teams.
• Serve as a senior AI advisor to customer stakeholders and executive leadership through workshops, demonstrations, solution reviews, and strategic briefings.
• Support business development, solutioning, capture efforts, proposals, and customer demonstrations related to AI-enabled opportunities.

• Minimum 15 years of experience in enterprise technology leadership, software engineering, cloud architecture, systems engineering, or related disciplines.
• Minimum 8 years of experience delivering AI/ML solutions in enterprise, regulated, or mission-critical environments.
• Demonstrated experience driving adoption of emerging technologies across multiple teams and stakeholders.
• Strong understanding of machine learning, deep learning, natural language processing, generative AI, agent-based systems, data science, and enterprise architecture.
• Demonstrated experience serving as an Enterprise Architect, Chief Architect, Solutions Architect, or Lead Systems Architect for large-scale enterprise environments.
• Strong knowledge of enterprise architecture frameworks such as TOGAF, FEAF, DoDAF, Zachman, or equivalent methodologies.
• Experience developing enterprise roadmaps, reference architectures, technology standards, and governance processes across multiple technology domains.
• Experience architecting complex hybrid-cloud, multi-cloud, and on-premises environments supporting mission-critical operations.
• Excellent written and verbal communication skills with the ability to engage technical and executive audiences.
• Proven ability to influence without direct authority and work effectively across internal and external organizations.

• Bachelor''s degree in Computer Science, Engineering, Data…