Solutions Architect at CapTech Consulting

Richmond, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

200000.0

Posted On

02 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Architecture, Cloud Platforms, API Design, Microservices, Containerization, Frontier AI Models, Data Architecture, Stakeholder Management, Prompt Engineering, Vector Databases, LangChain, Technical Leadership, Responsible AI, Solutioning, Analytical Thinking, Consulting

Industry

IT Services and IT Consulting

Description

Company Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade. 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 Qualifications 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 Additional Information 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. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $140,000-$200,000. #LI- JB1 #LI- Onsite Compensation: USD 140000 - USD 200000 - yearly

Responsibilities

Design and deliver scalable AI/ML architectures and data pipelines to solve complex business challenges for clients. Act as a trusted advisor guiding AI strategy, roadmap development, and technical implementation from concept to production.