Principal Solutions Consultant

• Lead AI-first product strategy and modern solution design through cutting-edge architectures and AI-accelerated delivery.
• Drive business impact by helping enterprise clients move AI from proof-of-concept pilots into scalable production workflows.
• Partner with client executives to re-engineer growth-critical systems for scale and performance.
• Enjoy a hybrid model, travel up to 40%, competitive pay, robust benefits, and 401(k) matching

• Advanced cloud and/or data platform certifications (AWS, Snowflake, Azure, Databricks, etc.).
• Experience supporting practice growth, including hiring, interviewing, and developing solution consulting talent.
• Published thought leadership or industry speaking experience in AI and modern data architecture.

Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.

Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.

We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com

#LI-REMOTE

As a Principal 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.

• 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.

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience; advanced degree preferred.
• 12+ years of experience in solution consulting, software architecture, modern enterprise solutions, or related AI engineering roles, including 3+ years in a senior or lead technical capacity.
• Proven track record of leading complex, multi-million-dollar AI programs from early pilot and concept stages through full production across multiple enterprise clients.
• Recognized expert in generative AI frameworks, Agentic workflows, enterprise data platform orchestration, and AI governance and enablement, with the ability to set technical direction and standards for the practice.
• Deep, hands-on experience with AI-accelerated delivery methods, cloud infrastructure (AWS/Azure/GCP), and modern data architectures (Snowflake/Databricks), including defining reference architectures adopted across teams.
• Demonstrated ability to align technical solutions with client business objectives, risk posture, financial constraints, and commercial pricing, and to shape strategic, multi-phase engagements and large pursuits at the executive level.
• Established trusted-advisor relationships with C-suite and senior executive stakeholders, with exceptional written and verbal communication and executive presence.
• Experience mentoring and coaching Senior Solution Consultants, Architects, and Strategists, and influencing sales, delivery, and partner leadership without direct authority.
• Track record of building repeatable offerings, accelerators, and thought leadership, and representing the company externally at industry events and with strategic partners (e.g., AWS, Snowflake).
• Willingness to travel up to 40%. Candidates near New York City, Atlanta, or the Pacific Northwest have an advantage on client proximity, though we’ll consider strong candidates anywhere.