AI Solutions Architect: Turn Data Into Scalable Impact

CapTech Consulting

Philadelphia (Philadelphia County)

On-site

USD 150,000 - 190,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Flexible work environment

Certification and tuition support

Extended benefits package

401(k) Matching

Job summary

CapTech Consulting is seeking an experienced Solutions Architect – AI to design, lead, and deliver innovative AI 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.

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.

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.