Top Solutions Architect Jobs in Denver & Boulder, CO

The Solutions Architect will support the sales team by tailoring cloud security solutions, providing technical guidance, and managing POC engagements based on customer needs.

The Presales Solutions Architect collaborates with sales to develop client solutions, producing required technical collateral and estimating project costs, particularly for AWS services.

The Solution Architect collaborates with sales to understand customer needs, design technical solutions, and ensure successful deployment and integration of AI solutions.

Responsible for evaluating and developing new compute technologies, creating solutions for customer engagements, and maintaining partnerships within the compute domain.

The role involves designing and implementing high-performance networking solutions for AI applications, engaging with customers, and leading technical solutions using advanced network architectures.

The Hosting Solutions Architect designs and presents scalable hosting solutions, bridges infrastructure with client strategies, and drives deal outcomes through technical validation and market intelligence.

Lead the design and governance of an enterprise data platform, ensuring it is secure and AI-ready through architecture, data engineering, compliance, and performance optimization.

Guide clients in technical implementation of AI-driven solutions, managing integration, onboarding, and go-live processes while ensuring project success.

This role involves leading the implementation of AI-driven solutions for clients, managing project timelines, integrations, and stakeholder communication, ensuring successful deployment and training of support teams.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect Bedrock-based RAG and multi-agent platforms, prototype in Python, ensure security, observability, IaC, and guide clients from discovery to production.

Lead portfolio-level solution architecture: design reusable solution patterns and frameworks, guide development teams across the SDLC, drive technical strategy and roadmaps, perform feasibility research and POCs, mentor developers, and ensure solutions meet security, reliability, and business needs within the financial services/insurance context.

Lead technical pre-sales engagements for Databricks in the casino/iGaming vertical: develop engagement strategies, build proofs-of-concept, influence C-level stakeholders, coach junior architects, produce customer-facing collateral, and drive adoption of the Databricks Data Intelligence Platform across cloud environments.

Serve as a partner-facing Solutions Architect for GSIs in India, owning technical partner activation, building demos, reference architectures and workshops, advising on DevSecOps/CI/CD adoption, and collaborating with sales and product teams to drive partner-sourced revenue.

Partner with sales and engineering teams to design and implement large-scale data and AI architectures on the Databricks platform. Deliver proofs-of-concept, validate cloud and third-party integrations, advise customers on best practices, and promote open-source projects like Spark, Delta Lake, and MLflow.

Serve as a technical pre-sales trusted advisor for GitLab in the West region, leading technical discovery, solution design, POC/POV efforts, workshops, and value stream assessments. Collaborate with Account Executives to drive account strategy and platform adoption, advise on DevSecOps, CI/CD, security, and cloud practices, and relay customer feedback to Product and Engineering. Build long-term relationships, create reusable technical collateral, and continually deepen expertise in GitLab, AI, and cloud technologies to influence revenue growth and customer transformation.

Serve as a senior technical advisor for East-region customers: lead technical discovery, demos, proofs of value, and solution design; own complex technical evaluations; develop account-level adoption strategies; advise on DevSecOps, CI/CD, security, and cloud; mentor peers and relay field feedback to product and engineering.

The Solutions Architect identifies requirements, develops SQL Server solutions, analyzes data, and interacts with clients, ensuring project alignment and high-quality outcomes.

Solutions Architects at Cape lead federal customer engagements, addressing privacy and security challenges while collaborating across teams to deploy technology effectively.

The Business Solutions Architect aligns business goals with product offerings by designing scalable solutions, guiding clients, and collaborating across teams to enhance customer outcomes.

The Solutions Architect will engage in end-to-end solution design, support business development, mentor junior resources, and promote knowledge sharing. Responsibilities include estimating efforts, assisting in client proposals, and supporting marketing activities through presentations.

Senior technical leader who designs and delivers end-to-end enterprise solutions, aligns partner technologies with internal platforms, supports sales and go-to-market efforts, drives reusable architectures and innovation, and engages clients and executives on transformation initiatives.

Lead alliance strategy across enterprise AI infrastructure, manage partnerships, define solution architectures, and drive GTM enablement while representing the company in industry events.

As an AI/ML Presales Solutions Architect, you will engage with clients to identify problems, create feasible AI solutions, and partner with sales to ensure project delivery aligns with capabilities. You will leverage your extensive experience in AI and cloud platforms to shape presentations and technical discussions with clients.

The Staff Solutions Architect - AI leads engagements to implement AI applications using LaunchDarkly, guiding customers on best practices for AI delivery and experimentation, while addressing technical challenges and establishing feature management strategies.