Job description

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. Key Responsibilities • Client Engagement & Advisory • 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 • Solution Architecture & Design • 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) • AI/ML Delivery Oversight • Provide technical leadership across AI initiatives from concept through production • Collaborate with data scientists, engineers, and developers to ensure successful implementation • Establish AgenticOps practices, including CI/CD for models, model versioning, and lifecycle management • Pre-Sales & Business Development • 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 • Governance & Best Practices • 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 Required Qualifications • 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 Preferred Qualifications • Familiarity with tools such as LangChain, 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 Key Skills & Competencies • 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 What Success Looks Like • 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 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech 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 CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech 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 CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI- JB1 #LI- Onsite

Requirements

Must-haves

Client Engagement & Advisory
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
Solution Architecture & Design
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)
AI/ML Delivery Oversight
Provide technical leadership across AI initiatives from concept through production
Collaborate with data scientists, engineers, and developers to ensure successful implementation
Establish AgenticOps practices, including CI/CD for models, model versioning, and lifecycle management

Nice-to-haves

Familiarity with tools such as LangChain, 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
Key Skills & Competencies
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
What Success Looks Like
Delivering scalable, high-impact AI solutions that drive measurable business outcomes

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsazuregcpci/cdgoapidockerkubernetesmachine learning

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Vision

401(K)

Pto

Wellness