Elastic
Senior Solutions Architect - Federal Civilian
$46K–$243K
Washington, DC, United States +1 · Senior · Full-time · Posted Oct 30, 2026
- Location
- Washington, DC, United States
United States - Experience
- 4+ years; no alternatives stated.
- Visa sponsorship
- Applicants located in or nationals of listed sanctioned countries or regions may require an export license as a condition of employment; nationality does not affect eligibility.
About the job
Serves as the technical strategist and advisor for Federal Civilian customers, designing and demonstrating Elastic solutions and supporting engagements throughout the sales lifecycle.
What you'll do
- Lead technical account strategy, discovery, and engagements from initial evaluation through technical win.
- Design and deliver demonstrations, proofs of concept, and architectural prototypes for search, observability, and security use cases.
- Collaborate with system integrators and partners, and advocate for federal requirements with Elastic product and engineering teams.
What they ask for
- 4+ years as a Solutions Architect, Systems Engineer, or Technical Presales Consultant in enterprise software or federal high-tech.
- Based in the Washington, D.C., Baltimore, or Tysons Corner / Northern VA area and able to work hybrid, including in-person collaboration at the Virginia office.
- Familiarity or direct experience supporting federal mission areas.
- Demonstrated success leading technical evaluations and analysis of alternatives, handling technical objections, and articulating ROI.
Nice to have
- Design experience with AI systems, foundation models, and closed LLM.
- Experience in Machine Learning (supervised and unsupervised), data resilience and failover architectures, or systems designs.
Pay
$107,500 — $170,100 USD (base salary); $46,000 — $72,800 USD (target variable); $153,500 — $242,900 USD (On-Target Earnings, OTE)
Tools
Elastic Stack, AI, Machine Learning, cloud-native architecture, SIEM, XDR
AI focus
Design AI systems, foundation models, and closed LLM solutions, particularly using data systems to provide secure enterprise context; keep pace with AI/ML trends.
Model-written summary · the original posting is authoritative