Senior AI Solutions Architect

Senior AI Solutions Architect

Location: Hybrid (US); preferred locations include DC/MD/VA or Austin.

Occasional travel for customer work and events.

Team: AI Solutions | Full-time

Why this role

We're hiring a hands-on architect who brings experience, frameworks, and opinions—not just tool names. You'll lead with the "so what" (outcomes, adoption, ROI), shape Seekr's point of view on where GenAI actually works today, and deliver quick, credible wins that raise the bar from day one. 

What you'll do

• Own the narrative + outcomes: Turn fuzzy business goals into shipped solutions with clear success metrics (quality, latency, adoption, ROI).
• Explain the so what behind every architectural choice. Design and build: Scope, prototype, and harden retrieval/agent/fine-tuning solutions; integrate APIs and data sources; stand up evaluations and dashboards.
• Operate independently: Run discovery, draft plans, align stakeholders, and execute with minimal oversight.
• Bring leverage, not just effort. 
• Be a thought leader: Publish short explainers, speak on customer calls/events, and codify patterns (reference architectures, playbooks, demo assets).
• Close the loop: Instrument solutions, measure results, and iterate quickly. Feed pragmatic insights back to Product and GTM. 

What you've done (must-haves)

• Shipped GenAI solutions in production (not only POCs) and can walk end-to-end: objective → data/approach → design → rollout → results.
• Applied frameworks of use (when to use retrieval vs. agent/tooling vs. fine-tuning) with clear tradeoffs. 
• Strong code sense: comfortable reading/writing Python or TypeScript to glue systems, call APIs, and build evaluators/metrics. Solid grasp of evaluation (groundedness/correctness, acceptance rates, tail latency) and how to set targets that matter to the business.
• Customer-facing communicator: crisp, audience-aware storytelling; can lead discovery and defend design choices. 

Nice to have

• Experience in regulated or high-stakes domains (public sector, healthcare, finance).
• Familiarity with vector search, orchestration/agent patterns, and modern cloud deployments. 
• You've authored talks, blogs, or internal playbooks on GenAI best practices and trends.
• 90-day success looks like One lighthouse solution in customer hands (or an internal demo that becomes a repeatable asset). 
  • One reference architecture + evaluation rubric adopted by the team.
  • One short talk/blog that clarifies our POV on a current GenAI trend (outcomes > tools). 
  • Clear pipeline influence and documented learnings that improve our win rate.

Additional Qualifications

• Bachelor’s degree in computer science engineering, or a related field; advanced degrees are a plus.
• 6+ years' professional experience in a related field, with significant exposure to AI, machine learning, and emerging technologies.
• 3+ years of experience as technical architect or system/software architect.
• 3+ years of experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)
• Proven experience in architecting, designing, and implementing enterprise-level AI-driven solutions, including hands-on expertise with AI and ML frameworks, Azure/AWS AI Stack, LLama, JavaScript, React, and REST APIs.
• Demonstrated experience in driving system architecture development across cross-functional teams
• Familiarity with leading Generative AI models from providers such as Azure OpenAI, Anthropic, Meta, Google, and Amazon.
• Excellent problem-solving abilities for analyzing and addressing complex technical challenges.
• Exceptional communication skills for conveying technical concepts to diverse audiences, including customers and stakeholders to capture Solution Aware and Active Problem-Solving customer engagement targets.
• Experience in responsible AI practices; familiarity with Trustworthy AI principles is a plus.
• High proficiency in technical writing, presentations, and product demonstrations.
• Strong working knowledge of deep learning, machine learning and statistics preferred
• AI/ML Expertise Demonstrated with AI/ML technologies such as python, LLMs, jupyter notebooks, algorithms, and data structures.
• Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable.

Salary Range

The base salary range for this full-time position is $ 180,000 - $ 210,000 , plus bonus, equity, and benefits. All salary ranges are determined by role, level, experience, and location