Principal Solutions Consultant

Posted Yesterday
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Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Information Technology • Software
Sparq is an AI-native digital engineering services firm that re-engineers the systems businesses run on
The Role
Leads AI-focused technical pre-sales, client discovery, solution architecture, proposals, commercial modeling, and executive engagement. Designs scalable AI and cloud architectures across AWS, Azure, GCP, Snowflake, and Databricks; operationalizes LLMs and agentic workflows; develops AI offerings and thought leadership; and supports delivery transitions, governance, and value realization. Mentors consulting teams and shapes complex enterprise AI engagements, with travel up to 40%.
Summary Generated by Built In

At Sparq, we help companies solve the right problems—not just build more technology.


We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.


If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.


C2C is not available

Must be authorized to work in the U.S. without sponsorship

Preferred location: East or West Coast, U.S. Travel up to 40%.


Why you will enjoy Mondays again:

  • 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

A Day in the Life:

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.


Responsibilities:

1. Pre-Sales and Client Engagement

  • 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.

2. Architecture and Platform Leadership

  • 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.

3. Offerings and Enablement

  • 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.

4. Cross-Functional Collaboration

  • 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.

What it takes:

  • 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.

Nice to Have:

  • 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 [email protected]




#LI-REMOTE

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
  • 12+ years of experience in solution consulting, software architecture, modern enterprise solutions, or related AI engineering roles
  • 3+ years in a senior or lead technical capacity
  • Track record leading complex, multi-million-dollar AI programs from pilot or concept through production across multiple enterprise clients
  • Expertise in generative AI frameworks, agentic workflows, enterprise data platform orchestration, and AI governance and enablement
  • Hands-on experience with AI-accelerated delivery methods, AWS, Azure, GCP, Snowflake, and Databricks
  • Experience defining reference architectures adopted across teams
  • Ability to align technical solutions with business objectives, risk posture, financial constraints, and commercial pricing
  • Experience shaping strategic, multi-phase engagements and large executive-level pursuits
  • Established trusted-advisor relationships with C-suite and senior executive stakeholders
  • Exceptional written and verbal communication and executive presence
  • Experience mentoring and coaching solution consultants, architects, and strategists
  • Ability to influence sales, delivery, and partner leadership without direct authority
  • Track record building repeatable offerings, accelerators, and thought leadership
  • Willingness to travel up to 40%
  • Advanced degree
  • Advanced cloud or data platform certifications, such as AWS, Snowflake, Azure, or Databricks
  • Experience supporting practice growth through hiring, interviewing, and developing solution consulting talent
  • Published thought leadership or industry speaking experience in AI and modern data architecture

Sparq Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sparq and has not been reviewed or approved by Sparq.

  • Leave & Time Off Breadth — PTO with floating holidays and seven U.S. holidays is part of the package, and flexibility around taking time off is highlighted positively. These elements support work–life balance for many roles.
  • Retirement Support — A 401(k) program is offered and some postings reference a company match. This provides baseline long‑term savings support even though specific match details are not publicly listed.
  • Inclusive Benefits Coverage — Participation in LGBTQ+ inclusion benchmarks and the presence of colleague resource groups signal attention to inclusive policies and benefits. External recognitions further reinforce a focus on equitable workplace practices.

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The Company
HQ: Atlanta, GA
723 Employees

What We Do

Sparq is an AI-native digital engineering services firm that re-engineers the systems businesses run on, turning operational bottlenecks into margin, throughput, and decision speed. We work alongside operators, architects, and engineering and business leaders to modernize critical technology, connect fragmented intelligence, and put AI to work where it can have the greatest impact on business performance. Sparq accelerates delivery with proven engineering patterns and production-tested AI components. Everything is validated first in The Shop, Sparq's internal practice that stress-tests new approaches under production-like conditions, then applied through Intelligence Studio, Sparq's applied AI foundation, which embeds them into a client's existing workflows. The result is reduced implementation risk and a shorter time to value. The combination has unlocked more than $90 million in margin for an enterprise mobility client, cut $220 million in operating costs for a leading logistics company, and moved new AI capability from concept to production in under 20 days across multiple engagements.

Why Work With Us

Sparq holds Snowflake Elite Partner, Snowflake CoCo Preferred Partner, and AWS Advanced Tier Services Partner status, serving Fortune 1000 and enterprise clients across transportation & logistics, real estate & construction, and financial services & insurance. Sparq is headquartered in Atlanta, Georgia, with delivery teams across the U.S. & Latam.

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