Solutions Architect

Overview

We are seeking an experienced Solutions Architect – AI to design, lead, and deliver innovative artificial intelligence solutions for our clients. This role blends deep technical expertise with strong consulting skills, enabling you to translate business challenges into scalable, AI-driven architectures. You will work closely with client stakeholders, delivery teams, and leadership to drive successful outcomes across a variety of industries.

• Partner with client stakeholders to understand business objectives and identify opportunities to leverage AI/ML solutions
• Serve as a trusted advisor, guiding clients on AI strategy, roadmap development, and best practices
• Lead workshops, discovery sessions, and solution envisioning engagements

• Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring
• Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP)
• Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision)

• Provide technical leadership across AI initiatives from concept through production
• Collaborate with data scientists, engineers, and developers to ensure successful implementation
• Establish Agentic Ops practices, including CI/CD for models, model versioning, and lifecycle management

• Support sales teams with solutioning, proposals, and client presentations
• Develop reusable assets, accelerators, and AI solution offerings
• Contribute to thought leadership, whitepapers, and go-to-market strategies

• Ensure responsible AI practices, including ethics, bias mitigation, and compliance
• Define architecture standards, design patterns, and governance frameworks
• Stay current on emerging AI trends and technologies

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• 10+ years of experience in technology consulting, software architecture, or solution architecture
• Hands‑on experience designing and delivering AI/ML solutions in production environments
• Experience with API design, microservices architecture, and containerization (Docker, Kubernetes)
• Experience working with Frontier AI models, local and open source models
• Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services
• Proficiency in multiple programming languages
• Experience designing data architectures and working with large‑scale data platforms

• Familiarity with tools such as Lang Chain, vector databases, and prompt engineering techniques
• Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake)
• AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer)
• Experience with Legacy Systems and Architectures including SaaS

• Strong problem‑solving and analytical thinking
• Excellent communication and stakeholder management skills
• Ability to translate complex technical concepts into business value
• Leadership and mentoring capabilities
• Adaptability in fast‑paced, client‑facing environments

• Delivering scalable, high‑impact AI solutions that drive measurable business outcomes
• Building strong client relationships and becoming a trusted advisor
• Contributing to the growth of AI capabilities and offerings within the firm
• Enabling teams through best practices, innovation, and technical leadership

• Cap Tech is committed to providing a flexible work environment and helping our employees achieve a work‑life balance that suits their individual needs. Employees must be available to work onsite in a client location or a Cap Tech office as requested. We allow Cap Tech employees to work remotely when compatible with Cap Tech and client needs.
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