Solutions Architect

About the role

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.

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

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