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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Engineer - **Company:** Matlen Silver - **Location:** Chandler, AZ, United States - **Experience:** Expert - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Machine Learning, Automation of Marketing, Software Deployment, Enterprise Application Integration, Enterprise Software Applications, System Availability, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Virtual Agents - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9423344e5c89b23a ## About the Role Do you have experience in Stakeholder relationship building?, * 8+ years of experience in Solution Engineering, Solution Architecture, Technical Consulting, Enterprise Architecture, or related roles. * Proven experience shaping and qualifying complex AI, automation, or enterprise technology initiatives. * Strong ability to translate ambiguous business problems into structured, actionable solution opportunities. * Experience evaluating business value, ROI, feasibility, prioritization, and implementation tradeoffs. * Strong understanding of AI/ML solutions, Generative AI, Agentic AI, automation platforms, and enterprise technology ecosystems. * Experience assessing data availability, data quality, knowledge sources, and readiness for AI implementations. * Knowledge of enterprise integration patterns, APIs, platform architectures, and solution dependencies. * Experience working within governance, risk, compliance, and regulated enterprise environments. * Strong stakeholder management skills with the ability to influence business leaders, architects, engineers, and product teams. * Experience working in Agile environments and supporting the transition from ideation through implementation. Preferred Qualifications * Experience supporting AI strategy, AI governance, or AI transformation initiatives. * Familiarity with model risk management, AI compliance, and responsible AI practices. * Experience with enterprise AI platforms, LLMs, agent frameworks, or intelligent automation technologies. * Background in financial services, banking, telecommunications, or other highly regulated industries. * Experience managing intake pipelines, opportunity portfolios, or technology roadmaps. * Prior experience mentoring junior engineers, architects, or solution consultants. ## Description OverviewWe are seeking a Senior Solution Engineer to lead the qualification, shaping, and solution design of complex AI and automation initiatives across a large-scale enterprise environment. This role serves as the bridge between business stakeholders, architecture, engineering, data, governance, and delivery teams, helping transform high-level ideas into well-defined, actionable AI and automation opportunities. The ideal candidate has a strong background in solution engineering, consulting, enterprise architecture, AI use-case evaluation, and stakeholder engagement. This individual will assess business value, technical feasibility, data readiness, governance requirements, and operational considerations to ensure solutions are positioned for scalable and production-ready delivery. Responsibilities * Lead discovery, intake, and qualification discussions for AI, automation, and agentic AI initiatives. * Partner with business and technology stakeholders to define business outcomes, scope, success metrics, and value realization. * Evaluate use-cases for strategic alignment, business value, implementation complexity, and operational impact. * Assess data readiness, knowledge sources, integration requirements, and platform dependencies required for AI-enabled solutions. * Facilitate solution-focused discussions and develop high-level solution approaches for qualified opportunities. * Document functional requirements, non-functional requirements, assumptions, dependencies, risks, and constraints. * Collaborate with architecture, engineering, product, data, security, risk, and compliance teams to ensure alignment with enterprise standards. * Support portfolio prioritization efforts by balancing business value, feasibility, resource capacity, and reuse opportunities. * Provide solution consulting and pre-delivery guidance on tooling selection, implementation approaches, and readiness for pilot or production deployment. * Contribute to governance frameworks, intake processes, qualification methodologies, and engagement best practices. * Mentor junior solution engineers and assist with solution framing, stakeholder management, and requirements refinement. * Ensure opportunities are positioned to meet governance, risk, compliance, and production-readiness requirements prior to development. ## Related Videos - [This App Reached 10,000 Users in One Week. 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