AI Solutions Architect

Job Description Job Description AI Solutions Architect
Location: Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred)
Compensation: Competitive, based on experience
Employment Type: W2 only. No C2C candidates.
Role Objective:
CEI America is seeking an experienced AI Solutions Architect to design, lead, and scale enterprise AI solutions for our clients. This role owns the end to end architecture of AI/ML systems, from strategy and solution design through deployment, and serves as the technical authority guiding both internal delivery teams and client stakeholders on best in class, production ready AI implementations.
Key Responsibilities
Design and architect scalable AI/ML solutions, including generative AI, LLM based applications, and machine learning pipelines, aligned to client business objectives.
Lead technical strategy for AI platform selection, model architecture, data pipeline design, and MLOps practices.
Partner with data engineers, solution architects, and delivery teams to ensure AI solutions are secure, scalable, and production ready.
Serve as the client facing technical expert during presales, discovery, and solution design engagements.
Evaluate and recommend AI/ML frameworks, cloud AI services (Azure AI, AWS, GCP), and tooling based on client needs.
Establish architectural standards, governance, and best practices for AI model development, deployment, and monitoring.
Guide integration of AI solutions with existing enterprise systems and data infrastructure.
Stay current on emerging AI/ML technologies and provide thought leadership internally and externally.
Mentor technical teams on AI architecture patterns and responsible AI practices.
What you will bring:
Bachelors degree in Computer Science, Engineering, or a related field (Masters preferred).
8+ years of experience in software/data architecture, with 4+ years focused specifically on AI/ML architecture.
Proven hands on experience architecting and deploying AI/ML solutions in production environments, not just proof of concept work.
Strong expertise in at least one major cloud platforms AI/ML stack (Azure AI, AWS SageMaker, or Google Vertex AI).
Experience with LLMs, generative AI frameworks, and modern ML architectures (e.g., RAG, vector databases, fine tuning).
Solid understanding of MLOps, data pipelines, and enterprise data architecture.
Excellent communication skills, with experience presenting technical solutions to executive and client stakeholders.
Must be authorized to work in the U.S. on a W2 basis. No Corp to Corp (C2C) candidates.
Why This Role Matters
This role is central to CEIs AI native transformation strategy, ensuring clients receive architecturally sound, scalable, and responsibly governed AI solutions that drive real business impact.

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