Senior Solutions Architect

You will partner with Account Executives to earn the technical win that unlocks the business win. Lead discovery, deliver demos tailored to the customer's business, run deep technical working sessions, and design proofs of value that show measurable business outcomes.

The role suits a technical seller who is equally comfortable white-boarding an AI architecture with an engineering team and explaining business value to an executive sponsor. You will sell enterprise AI platform solutions to commercial customers in regulated and data-sensitive industries.

• →Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter. 
• →
  Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth.
• →Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge. 
• →
  Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
• →
  Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role.
• →401(k) with Company Match – Build your future with a retirement plan that includes employer matching. 
• →Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family.  
• →
  Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

Important Notice: 
 
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.
 
Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

• Lead technical discovery to uncover the business problem, pain points, users, data, and technical landscape, and help qualify the opportunity, navigating complex buying environments across business, AI/data, engineering, architecture, and information security stakeholders.
• Build and deliver demos tailored to the customer's industry, workflows, and data, and connect every capability shown to a business outcome.
• Run deep dives and workshops on architecture, integration, security, data governance, and deployment, engaging specialist resources where deeper expertise is required.
• Lead responses to the technical portions of RFPs, RFIs, and security questionnaires.

• Scope, plan, and run time-boxed proofs of value with clear technical and business success criteria, test cases, and a value model agreed with the customer up front.
• Build business cases that quantify impact in the customer's own numbers, such as hours returned, cost avoided, or cycle time reduced.
• Scope and size solutions, including compute, deployment model, and integration requirements.

• Co-own deal strategy with Account Executives and prepare for and debrief every customer touchpoint together.
• Lead knowledge transfer to forward deployed engineering teams after the technical win, helping strategic customers bridge the gap between technical validation and successful production deployment, and stay engaged as part of the account team.
• Share field feedback, product gaps, and feature requests with Product, and bring roadmap context back to customers.
• Find expansion opportunities in existing accounts by demonstrating new capabilities and uncovering new use cases.
• Mentor other Solutions Architects and contribute reusable demos, assets, and best practices to the team.

• Bachelor's degree in computer science, engineering, data science, or a related field, or equivalent practical experience.
• 7+ years in technical, customer-facing roles, with at least 4 years in presales, sales engineering, or solutions architecture for enterprise software.
• 2+ years working hands-on with machine learning, generative AI, or data platform solutions.
• Track record of earning technical wins in complex enterprise deals with multiple stakeholders and long sales cycles.
• Experience designing and running proofs of value with defined success criteria.

• Generative AI. Working knowledge of large language models, retrieval-augmented generation, prompt engineering, and agentic AI patterns.
• Model customization. Understanding of fine-tuning, model selection, and the tradeoffs between frontier, open-weight, and smaller task-specific models.
• Model evaluation. Familiarity with methods to evaluate model quality, safety, and risk, including benchmarks, test datasets, and LLM-as-a-judge approaches.
• Data preparation. Experience preparing unstructured and structured data for AI, including document parsing, chunking, embeddings, and vector search.
• Cloud and infrastructure. Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud) and with hybrid, on-premises, or private cloud deployments.
• Comfort with REST APIs, Python, containers, and Kubernetes, enough to build demos and prototypes and to speak credibly with engineering teams.
• Security and compliance. Knowledge of enterprise security and compliance requirements, including SSO, data residency, data sovereignty, and frameworks such as SOC 2.
• Understanding of model deployment, monitoring, and observability in production environments.

• Strong discovery skills, with the habit of finding the question behind the question.
• Ability to translate technical capabilities into business value for executives, line-of-business leaders, and technical evaluators in the same room.
• Familiarity with a structured qualification framework such as MEDDPICC.
• Excellent written and verbal communication, including executive presentations, technical documentation, and proposals.
• Sound judgment in managing time across multiple concurrent opportunities.

• Experience selling AI or data solutions into regulated industries such as financial services, telecommunications, energy, supply chain, or critical infrastructure.
• Familiarity with AI governance and risk frameworks such as the NIST AI Risk Management Framework, the EU AI Act, or model risk management practices.
• Experience with responsible AI topics, including explainability, bias detection, hallucination reduction, and content moderation.
• Experience working with cloud marketplaces, systems integrators, or reseller partners.
• Relevant certifications, such as a cloud architect or machine learning specialty certification.
• Prior experience at a growth-stage AI or platform company.

• Curious and customer-obsessed, with a habit of learning at every touchpoint.
• Leads with business value, then proves it with technical depth.
• Builds trust quickly and becomes the customer's trusted advisor.
• Comfortable with ambiguity in a fast-moving market and product.
• A team player who wants every Account Executive to ask for them on their deal.