AI Solutions Architect Manager

We are seeking an AI Solutions Architect & Innovation Lead to drive the standardization of AI technologies, define scalable workflows, and lead Agile Dream Team’s AI initiatives, particularly within Dream Labs AI. This individual will act as a mentor, AI strategist, and technical consultant, focusing on architecture, project estimation, and technical excellence rather than direct people management. They will play a crucial role in guiding AI-driven transformation for both internal teams and external clients while continuously researching and integrating emerging AI technologies into the company’s strategy. Learn more about us at: www.agiledreamteam.com

Key Responsibilities

Technology Standards, Research & AI Architecture

• Continuously research and evaluate emerging AI/ML technologies, frameworks, and best practices to ensure Agile Dream Team remains at the forefront of innovation.
• Test and validate new AI, MLOps, and automation tools before integrating them into company workflows.
• Define and implement AI technology stacks, best practices, and workflows to ensure consistency and efficiency across AI/ML projects.
• Lead AI/ML architecture design for enterprise solutions, ensuring scalability, security, compliance, and cutting-edge advancements.
• Establish company-wide standards for AI model development, deployment, and operationalization to enhance efficiency and reduce technical debt.

AI & Data Strategy Leadership

• Collaborate with Dream Labs AI to refine AI strategies, create roadmaps, and explore new AI-driven business models.
• Conduct AI readiness assessments and provide clients with clear implementation roadmaps for AI adoption.
• Define strategies for predictive analytics, generative AI, AI agents, and enterprise AI integration, ensuring solutions align with business needs.
• Lead efforts to transition the company toward AI-driven business models, including value-based billing and AI-powered efficiency improvements.

Project Estimation, Technical Consulting & Innovation Adoption

• Work closely with sales and project teams to provide accurate AI project estimations, covering scope, cost, and timeline.
• Develop methodologies for value-driven AI solutions, ensuring alignment between business impact and technical feasibility.
• Test, prototype, and advocate for the adoption of cutting-edge AI technologies, ensuring Agile Dream Team is an industry leader in AI-driven development.
• Support client engagements by defining scalable AI architectures, optimizing cloud-based AI solutions, and integrating AI into enterprise systems.

Mentorship, Thought Leadership & Research

• Act as a technical mentor to AI/ML engineers, data scientists, and MLOps practitioners, fostering a culture of continuous learning.
• Lead internal training, research initiatives, and workshops on AI, MLOps, CloudOps, and emerging AI trends.
• Establish a framework for continuous R&D in AI, ensuring the company is always ahead of industry advancements.
• Publish and share insights on AI trends, best practices, and technological breakthroughs, positioning Agile Dream Team as a thought leader in AI innovation.

Collaboration & Cross-Functional Leadership

• Work closely with Agile Delivery Teams to ensure AI solutions align with Agile and DevOps methodologies.
• Collaborate with Data & Cloud Engineering teams to integrate AI models into enterprise systems.
• Support the Dream Labs AI mission of fostering AI-driven transformation across industries through research and experimentation.

Required Qualifications:

• 7+ years of experience in AI/ML engineering, MLOps, or AI architecture.
• Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (MLflow, Kubeflow, SageMaker Pipelines).
• Strong experience with cloud AI platforms (AWS, Azure, GCP) and AI model deployment strategies.
• Deep knowledge of data engineering, AI infrastructure, vector databases, and Retrieval-Augmented Generation (RAG).
• Proven ability to design AI architectures that balance performance, scalability, and compliance.
• Experience in AI governance, bias detection, model explainability, and ethical AI practices.
• Hands-on experience with AgentOps, AI agents, and enterprise AI solutions.
• Ability to mentor technical teams, lead research efforts, and drive AI innovation.
• Experience in estimating AI projects and defining technical proposals for clients.
• Strong problem-solving skills and ability to proactively integrate new AI technologies into enterprise workflows.

Preferred Qualifications:

• Certification in AI/ML cloud services (AWS Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud AI Engineer).
• Experience in Generative AI applications, RAG architectures, and AI-driven automation.
• Previous experience leading AI innovation labs or research teams.
• Deep understanding of enterprise AI compliance frameworks and best practices.