Solutions Architect

CapTech Consulting • Philadelphia, PA

8h • Hybrid

About The Position

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

Requirements

• 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
• 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

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

Responsibilities

• 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 AgenticOps 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level