Solutions Architect

Overview As a Solutions Architect – AI at CapTech, you design and deliver AI-driven architectures for diverse clients, blending deep technical expertise with consulting skills. You will translate business challenges into scalable AI/ML solutions, guiding strategy, workshops, and implementation from concept to production. You’ll work with cross-functional teams to ensure secure, high-performing data and model pipelines, while shaping CapTech’s AI offerings and best practices. This role offers impact across industries and strong collaboration with client stakeholders and delivery teams. Compensation / Benefitsflexible work environmentgenerous PTOhealth coveragedisability insurancepaid family leave401(k) matching ResponsibilitiesUnderstand client objectives and identify AI/ML opportunitiesDeliver AI strategy, roadmaps, and best practices guidanceLead workshops, discovery sessions, and solution envisioningDesign end-to-end AI/ML architectures (data pipelines, models, deployment, monitoring)Define scalable, secure architectures across AWS, Azure, and GCPEvaluate tools, frameworks, and platforms for AI development (LLMs, NLP, computer vision)Provide technical leadership across AI initiatives from concept to productionEstablish CI/CD for models, versioning, and lifecycle management (AgenticOps)Support pre-sales with solutioning, proposals, and client presentationsDevelop reusable assets, accelerators, and AI solution offeringsContribute to governance, ethics, bias mitigation, and complianceStay current on emerging AI trends and technologies Key requirementsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field10+ years of experience in technology consulting, software architecture, or solution architectureHands-on experience delivering AI/ML solutions in productionExperience with API design, microservices, and containerization (Docker, Kubernetes)Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML servicesProficiency in multiple programming languagesExperience designing data architectures and working with large-scale data platformsStrong problem-solving and analytical thinkingExcellent communication and stakeholder managementAbility to translate technical concepts into business valueAI/ML solution design and deliveryCloud platforms and AI services (AWS, Azure, GCP)API design, microservices, Docker, Kubernetes