Lead AI Architect/Strategist

Accountabilities: As a Lead AI Architect/Strategist, you will be responsible for defining AI architecture strategies, guiding implementation efforts, and enabling the adoption of advanced AI capabilities across the organization. You will translate business objectives into scalable technology solutions while establishing best practices for secure, responsible, and effective AI deployment.

Define and execute AI architecture strategies, technical roadmaps, and modernization initiatives aligned with organizational priorities.

Design scalable AI platforms and solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning, and automation technologies.

Architect intelligent AI systems integrating models, data platforms, enterprise applications, and APIs.

Develop architecture standards and best practices for LLM applications, AI copilots, agentic workflows, knowledge retrieval systems, and data-driven decision solutions.

Design and evaluate RAG architectures, including data ingestion pipelines, embeddings, vector search, retrieval strategies, and model orchestration.

Lead assessments of emerging AI technologies, frameworks, and platforms to identify opportunities for innovation.

Guide engineering and data teams from AI proof-of-concept development through production implementation.

Establish AI governance practices supporting security, compliance, responsible AI principles, scalability, and operational excellence.

Collaborate with software engineers, data scientists, product teams, cybersecurity teams, and enterprise architects to deliver AI-enabled solutions.

Provide technical mentorship and leadership on AI architecture patterns, engineering practices, and implementation approaches.

Communicate complex AI concepts and recommendations clearly to technical teams, business stakeholders, and executive audiences.

Support innovation initiatives through prototypes, technical demonstrations, and enterprise AI transformation programs.

Requirements:

The ideal candidate is a strategic and hands-on technology leader with deep expertise in AI architecture, enterprise systems, cloud platforms, and modern software engineering practices. This professional should be capable of bridging technical innovation with business objectives while delivering secure and scalable AI solutions.

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

10+ years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.

5+ years of experience designing and implementing AI/ML solutions, AI platforms, or intelligent automation solutions.

Proven experience architecting enterprise-scale technology solutions and distributed systems.

Strong expertise in Generative AI, Large Language Models (LLMs), and AI application architectures.

Hands-on experience with AI technologies including Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI workflows, prompt engineering, vector databases, embeddings, model orchestration, and AI lifecycle management.

Experience with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, or Google Vertex AI.

Experience with modern AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar technologies.

Strong programming experience with Python or other modern programming languages.

Experience with data architecture, APIs, data pipelines, and enterprise system integrations.

Understanding of MLOps and LLMOps practices, including monitoring, evaluation, deployment, and governance.

Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.

Preferred qualifications:

Experience supporting federal government, healthcare, or other highly regulated environments.

Experience designing secure AI solutions within enterprise environments.

Knowledge of Kubernetes, containerized applications, cloud-native architectures, and modern DevOps practices.

Familiarity with enterprise architecture frameworks such as TOGAF.

Experience leading AI transformation initiatives from strategy through implementation.

Benefits:

Opportunity to support high-visibility and mission-driven technology initiatives.

Competitive compensation package with salary transparency based on experience, skills, location, and role requirements.

Comprehensive benefits designed to support employees and their families.

Access to cutting-edge AI tools, platforms, and emerging technologies.

Collaborative culture focused on innovation, professional growth, and continuous learning.

Career development opportunities that reward ambition, technical excellence, and performance.

Flexible work environment supporting remote work opportunities.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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