Solutions Architect - DOJ

Chainalysis; Washington (District of Columbia); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Chainalysis Government Solutions seeks a Solutions Architect to serve DOJ sales teams, bridging blockchain data with mission objectives and driving technical wins across sensitive environments.

You will lead on-site technical discussions, translate DOJ needs to engineering, and enable the mission through demonstrations and integrations nationwide, including the greater DC area. This role emphasizes independence, strong communication, and experience with GenAI and security-sensitive projects.

Qualifications

• DOJ experience with understanding the unique operational constraints of Law Enforcement sensitive work.
• Proficiency and hands‑on experience with Python, SQL.
• Exceptional communication: ability to listen, negotiate complex requirements, and convey technical concepts to DOJ stakeholders.
• Independence: self-starter mindset; manage projects from inception to completion with minimal supervision.
• Geographic availability: based in the D.C. Metro area with frequent on‑site visits around the country; travel.
• Generative AI: experience with LLMs, RAG, API calls to LLMs/Gen AI providers, and structured AI prompting.
• Active security clearance: current U.S. Government Secret clearance is desired; TS/SCI would be helpful; polygraph not required.

Responsibilities

• Drive the Technical Win: Lead customer-facing technical discussions and architectural design to align Chainalysis capabilities with DOJ missions.
• Operate with High Autonomy: Develop and demonstrate custom solutions with minimal supervision, often as the primary technical on-site rep.
• Bridge Environments: Collaborate across security domains; translate DOJ needs to uncleared engineering teams and influence product roadmaps.
• Enable the Mission: Provide on-site enablement, integration support, and use-case demonstrations at customer facilities nationwide including the greater DC area.
• Architect Complex Systems: Advise on technical challenges from high-level architecture to code-level implementation (Python/SQL).
• Maintain Operational Access: Maintain engagement with sensitive systems/locations to ensure ongoing access and readiness.
• Build Partnerships: Partner with Sales and Account teams to identify new opportunities within DOJ and beyond.

Skills

DOJ experience

Python

SQL

Technical diplomacy

Independence

DC metro availability

Generative AI

Security clearance awareness

Job description

About Chainalysis Government Solutions

Chainalysis Government Solutions (CGS) is a wholly-owned Chainalysis subsidiary providing blockchain intelligence solutions—including technology, training, and services—to law enforcement, defense, and national security customers across the U.S. Government.

As a Solutions Architect, you will serve as a trusted technical advisor to our Department of Justice (DOJ) sales teams. You will bridge the gap between complex blockchain data and mission-critical objectives, building custom solutions that support the deployment and integration of our projects within the Department of Justice, which could include classified environments.

In this role, you’ll:

• Drive the Technical Win: Lead customer-facing technical discussions and architectural design to align Chainalysis capabilities with specific DOJ missions.

• Operate with High Autonomy: Proactively identify, develop, and demonstrate custom solutions and integrations with minimal supervision, frequently acting as the primary technical representative on-site.

• Bridge Environments: Effectively collaborate across different security domains, translating operational needs from DOJ sensitive environments to our uncleared engineering teams. You will help influence product roadmaps.

• Enable the Mission: Provide on-site enablement, technical integration support, and use‑case demonstrations within customer facilities around the country, including the greater DC metropolitan area.

• Architect Complex Systems: Provide guidance on technical challenges ranging from high-level architecture to specific code implementation (Python/SQL).

• Maintain Operational Access: Ensure consistent engagement with customer sensitive systems/locations to maintain active access and operational readiness.

• Build Partnerships: Partner with Sales and Account teams to identify new business opportunities and expand our footprint within the DOJ and beyond.

We’re looking for candidates who have:

• DOJ Experience: Proven experience working within the Department of Justice, with a firm understanding of the unique operational constraints of Law Enforcement sensitive work.

• Technical Proficiency: Proficiency and hands‑on experience with Python, SQL is highly desired.

• Exceptional Communication: A mastery of "technical diplomacy"—the ability to listen actively, negotiate complex requirements, and convey technical concepts with empathy and integrity to DOJ stakeholders.

• Independence: A self‑starter mindset with the ability to conduct client visits, perform deep-dive technical discovery, and manage projects from inception to completion with minimal supervision.

• Geographic Availability: Should be based in the D.C. Metro area and comfortable with frequent on‑site visits around the country; frequent travel.

• Generative AI: Experience with Generative AI such as leveraging LLMs, using retrieval augmented generation (RAG), API calls to LLMs/Gen AI providers, and structured AI prompting.

• Active Security Clearance: Not required, though a current U.S. Government Secret clearance is desired; TS/SCI would be very helpful. Polygraph not required.

Nice to have:

• Crypto Expertise: Understanding of cryptocurrency ecosystems (mining, DeFi, smart contracts, tracing).

• Certifications: Specialized technical, finance, or security certifications such as AWS, Linux, Kubernetes, CAMS, CCAS, CGSS, or CFE.

• Policy Knowledge: Familiarity with relevant government oversight policies, procedures, and security requirements.

• Open Source: Experience with Open Source Intelligence (OSINT).

• Development: Full‑stack development experience or a background in data science.