Director/Chief Architect-AI

Position Overview - We are seeking a visionary and execution-focused Director – AI /Chief Architect to lead the design, deployment, and growth of mission-driven AI ecosystems across federal and enterprise markets.

This executive will operate at the intersection of:


* Advanced AI/ML and Generative AI architectures


* Scientific and engineering modeling


* Innovation experimentation, including digital twins and robotics


* Technical solutioning and business capture for new funding


* Agile DevSecOps and cloud-native engineering


* Enterprise modernization strategy

The ideal candidate engages potential customers with a vision of the future of scientific computing backed by modern architectures and coordinates the strategic capture of multi-million dollar growth opportunities.

Key Responsibilities

1.

Innovation & Emerging Technology Strategy


* Establish and lead AI & Innovation Labs.


* Forecast emerging technologies and assess mission relevance.


* Develop enterprise AI roadmaps and modernization strategies.


* Guide patent development, IP strategy, and technology differentiation.


* Serve as executive advisor to C-suite and senior government stakeholders on AI transformation.


* Domain Expertise in Scientific and Engineering Modeling for Energy or Materials

2.

AI/ML & LLM Architecture Leadership


* Define enterprise AI/ML architecture strategy aligned to mission outcomes.


* Architect secure, scalable LLM and ML platforms (cloud, hybrid, and classified environments).


* Lead development of:
+ Generative AI architectures
+ MLOps pipelines
+ Model governance and responsible AI frameworks
+ AI-enabled decision support systems


* Oversee model lifecycle management from experimentation through production deployment.


* Establish secure data ingestion, validation, and labeling ecosystems.


* Drive AI adoption across energy mission systems and enterprise platforms.

3.

DevSecOps & Cloud Stack Engineering


* Architect secure cloud-native platforms leveraging Kubernetes, containers, and microservices.


* Lead DevSecOps CI/CD pipeline design and automation


* Design Zero Trust–aligned cloud and hybrid architectures.


* Modernize legacy systems into scalable, resilient, cloud-native ecosystems.


* Ensure compliance with federal security standards and classified environments.

4.

Business Capture & Growth Enablement


* Lead strategic capture team efforts


* Shape opportunities with solution architectures, MVPs, white papers, and RFIs


* Lead technical volumes for high-value proposals.


* Align AI/ML and cloud architecture strategies with funding narratives and agency priorities.


* Mentor solution architects, capture managers, and pre-award teams.


* Identify emerging funding pathways tied to AI modernization and secure cloud adoption.

5.

Organizational Leadership & Talent Development


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