Solutions Architect

AI Collaborator Senior AI Solutions Architect

About Us:

Enterprise AI investment is accelerating. Execution is not keeping pace. The gap between AI ambition and production-scale AI performance is widening — not because the technology isn't ready, but because enterprises lack the execution infrastructure to deploy it consistently, govern it responsibly, and measure it at the portfolio level.

AI Collaborator is an enterprise AI enablement firm that turns AI demand into governed, scalable enterprise performance.

We are the enterprise AI enablement layer — combining MARCO™, our proprietary platform, with a global elastic partner ecosystem and embedded governance to give organizations the structure, speed, and scale to operationalize AI across the business. We don't replace your vendors or your teams. We give your AI program the operating discipline it's been missing.

The proof: 90% of our pilots reach production — the highest success rate in the industry.

We're at an inflection point. The product is strong, the category thesis is clear, and we're now building the go-to-market organization that will establish AI Collaborator as the leader in Enterprise AI Enablement.

AI Collaborator is seeking a Senior AI Solutions Architect to lead the technical design and delivery of enterprise AI initiatives powered by MARCO™. This client-facing role combines deep AI expertise with technical leadership, working directly with enterprise customers to architect scalable solutions, guide delivery teams, and drive successful production deployments.

• Drive and facilitate client communications, including leading scoping sessions, managing stakeholder expectations, and presenting results.
• Lead technical decisions on enterprise AI projects, ensuring the best-fit solutions are proposed and delivered for our clients.
• Identify potential risks within project roadmaps, review milestones and estimates, and oversee delivery quality.
• Build and deliver high-impact client-facing presentations and technical decks, ensuring clarity for both business and technical audiences.
• Collaborate with cross-functional partner teams, such as Sales, Product and Customer Success, to ensure an exceptional client experience from initial engagement through ongoing project phases.
• Lead client engagements, ensuring alignment with client goals while planning and preparing for subsequent project phases.
• Review and refine solution architectures, roadmaps, and delivery approaches to maintain technical excellence and scalability.
• Stay ahead of emerging AI technologies, recommending best practices and integrating responsible AI principles into every engagement.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
• Proficiency in AI development, with 5+ years of experience in AI/ML and Data solutions.
• Strong communication skills, able to collaborate effectively with technical and non-technical stakeholders.
• Proven experience leading client engagements, including scoping discussions, technical presentations, and solution delivery in consulting environments.
• Experience working with LLMs, AI agents, and vector databases.
• Experience designing data architectures and integrating AI solutions.
• Experience with AI tools and libraries, such as Hugging Face, Lang Chain, and Agentic frameworks.
• Expertise in Python.
• Expertise in AWS, Azure, or GCP
• Experience with Dev Ops frameworks such as Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of databases (SQL, No
  
  SQL) and systems like Kafka and Airflow.

• Software Development:
  Hands-on experience in building and maintaining production-grade software systems.
• Advanced Dev Ops Expertise:
  Deep understanding of CI/CD practices, cloud infrastructure automation, container orchestration (e.g., Docker, Kubernetes), and monitoring.
• Pre-Sales Support:
  Participation in pre-sales activities such as discovery sessions, proposal design, and technical feasibility assessments.
• Data Engineering and Analytics:
  Strong background in building scalable data pipelines, working with structured and unstructured data, and delivering…