Senior Solutions Consultant

Sparq

1d • Hybrid

About The Position

As a Senior Solutions Consultant specializing in AI-First Transformation, Modern Architecture, and Technical Pre-Sales, you will drive core AI initiatives end-to-end. You will lead client discovery, architect AI-enabled solutions, and structure commercial models while partnering across sales and delivery teams to scale generative and enterprise AI.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• 8+ years of experience in solution consulting, software architecture, modern enterprise solutions, or related AI engineering roles.
• Proven track record of driving AI projects from early pilot/concept stages into full production within operational client workflows.
• Depth in generative AI frameworks, development of Agentic workflows, enterprise data platform orchestration, and AI governance and enablement.
• Hands-on experience with AI-accelerated delivery methods, cloud infrastructure (AWS/Azure/GCP), and modern data architectures (Snowflake/Databricks).
• Ability to align technical solutions with client business objectives, risk posture, financial constraints, and commercial pricing.
• Strong written and verbal communication with executive and technical stakeholders.
• Willingness to travel up to 40%.
• Must be authorized to work in the U.S. without sponsorship.

Nice To Haves

• Cloud and/or data platform certifications (AWS, Snowflake, Azure, Databricks, etc.).
• Experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech.

Responsibilities

• Lead AI-focused technical pursuits in partnership with sales to qualify, shape, and advance high-value deal opportunities.
• Conduct technical and business discovery to identify AI use cases, clarify client problems, and validate production readiness before solutioning.
• Develop comprehensive proposals with clear win themes, defensible assumptions, and value-driven solutions.
• Align scope and commercial models (milestone, project, or T&M) to client outcomes while protecting margins.
• Build executive-ready narratives that connect client business outcomes to technical architecture and ROI.
• Design scalable, secure AI platforms and cloud solution architectures across AWS, Azure, GCP, and data ecosystems like Snowflake and Databricks.
• Lead deep-dives on operationalizing LLMs, development of Agentic workflows, enterprise data readiness, modern architecture, and AI governance/enablement for digital transformation.
• Produce high-level system designs, reference architectures, and investment estimates aligned with client financial and risk goals.
• Drive partner co-sell initiatives with AWS and Snowflake, including joint discovery and architecture validation.
• Engage specialized Solutions Architects or Strategists early when deep technical expertise is required.
• Author thought leadership content, including whitepapers, technical blogs, and documentation.
• Build repeatable AI offerings, accelerators (workshops, POVs, LLM templates), and sales enablement assets to streamline pre-sales cycles.
• Stay current on technology trends and share knowledge internally to foster continuous team development.
• Provide billable advisory support, facilitate client workshops, and align stakeholders on scope, risks, and success criteria.
• Partner with delivery leadership on governance, escalations, and value realization.
• Act as a liaison during pre-sales to delivery transitions to transfer context and ensure seamless execution.

Benefits

• Hybrid model
• Competitive pay
• Robust benefits
• 401(k) matching

What This Job Offers

• Job Type: Full-time
• Career Level: Senior