AI Lead Software Architect

Requirements

• Strong expertise in AWS, Azure, or GCP cloud platforms.
• Proven experience in architecting large-scale data ML/AI solutions.
• Hands-on implementation and leadership experience, driving AI innovation, software application development, ensuring scalability, performance, and data governance.
• Effective communication skills to collaborate with cross-functional teams and stakeholders. Primary customer liaison with oversight of multiple programs.
• Host and deliver demonstrations, inclusive of building prototypes, as required, supporting a variety of customer-driven capabilities demonstrations.
• Proven experience as an AI/ML platform architect.
• Deep understanding of ML algorithms, Deep Learning architecture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Expertise in hybrid cloud platforms (e.g., AWS, GCP, Azure) and their AI services.
• Strong knowledge of Model development life cycle, software engineering principles, data engineering principles.
• Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
• Ability to design and optimize distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
• Excellent problem-solving skills and ability to address complex technical challenges.
• Position Clearance Requirement:
• TS/SCI with Full-Scope Polygraph
• Location: Chantilly/Herndon, VA.
• Equal Opportunity Employer:

Additional Information

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of AI Lead Software Architect to drive enterprise cloud data and AI initiatives. This role will focus on delivering scalable, secure, and high-performance platforms supporting advanced analytics and AI workloads. Architect and build enterprise-grade Agentic AI applications that combine LLMs, retrieval, structured data access, search, orchestration, and workflow automation. Required Qualifications: A degree in Computer Science, Information Systems, Engineering or related. 15+ years - Design and architect scalable AI platforms to develop and deploy AI solutions leveraging ML techniques and Deep Learning Techniques. 15+ years - Drive Joint Architecture Design to collaborate with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform. 15+ years - Architect and build enterprise-grade Agentic AI solutions that combine LLMs, retrieval, structured data access, search, orchestration, governance, compliance, and workflow automation. Optimize AI search experiences using platforms such as OpenSearch, and vector databases to support high-relevance, large-scale enterprise applications. Python, Spark, OpenSearch, Iceberg, Lakekeeper, ETL Frameworks experience.

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