Senior Solution Engineer
Role details
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Tech stack
Job 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.
Requirements
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.