account manager

actuarial analyst, commercial pricing - remote Jobs in Washington

assistant general counsel, vp : cybersecurity Jobs in Washington

associate data analyst, washington d.c. Jobs in Washington

associate data analyst, washington d.c.

associate director, programs and content, events Jobs in Washington

ai policy lead

Cognition AI

<div><div><h2 class="jobSectionHeader">Location</h2>
Washington DC
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
SalesFederal</div></div>
 <div><div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We are seeking an AI Policy Lead to help shape Cognition's engagement with policymakers, regulators, and government stakeholders as AI becomes increasingly important to economic competitiveness, national security, and public sector modernization.
You will serve as a bridge between technical innovation and public policy, helping policymakers understand the opportunities and implications of advanced AI systems while ensuring Cognition remains informed on evolving regulatory, legislative, and geopolitical developments.
This role sits at the intersection of technology, government, and strategy. You will work closely with company leadership, product teams, legal counsel, and external stakeholders to support responsible AI deployment and advance policies that promote innovation, security, and economic growth.
Core Responsibilities
<ul><li>Monitor and analyze emerging AI policy, regulatory, and legislative developments across the United States and key international markets
</li><li>Develop policy positions, briefing materials, white papers, and executive-level recommendations on issues related to artificial intelligence, national security, technology competitiveness, workforce transformation, and digital infrastructure
</li><li>Build and maintain relationships with policymakers, government agencies, think tanks, industry associations, and academic institutions
</li><li>Support executive engagement with Congress, the Executive Branch, regulators, and international government stakeholders
</li><li>Represent Cognition in policy discussions, industry working groups, conferences, and strategic forums
</li><li>Partner with technical teams to translate complex AI capabilities into clear, actionable policy narratives
</li><li>Identify opportunities for public-private partnerships that accelerate AI adoption across government and critical industries
</li><li>Help anticipate policy risks and opportunities that could impact company strategy, product development, or market expansion
</li></ul>What We Value
<ul><li>Intellectual curiosity and a genuine interest in understanding frontier AI systems
</li><li>Strong judgment and the ability to navigate complex policy environments
</li><li>Clear communication across technical, business, and government audiences
</li><li>Relationship-building and long-term trust with stakeholders
</li><li>Pragmatism and a focus on outcomes rather than ideology
</li><li>Ownership mentality and willingness to operate independently
</li><li>Ability to balance innovation, competitiveness, and responsible governance
</li></ul>Requirements
<ul><li>5&ndash;10 years of experience in public policy, government affairs, national security, technology policy, congressional offices, federal agencies, think tanks, consulting, or related fields
</li><li>Strong understanding of U.S. government institutions, policymaking processes, and regulatory frameworks
</li><li>Demonstrated ability to influence senior stakeholders and navigate complex organizations
</li><li>Exceptional written and verbal communication skills
</li><li>Experience developing policy recommendations, briefing materials, or strategic analyses for senior decision-makers
</li><li>Ability to quickly understand technical concepts and communicate them effectively to non-technical audiences
</li><li>Interest in artificial intelligence, emerging technologies, and their implications for government and society
</li></ul>You Might Excel If You...
<ul><li>Have worked in Congress, the White House, federal agencies, national security organizations, or leading policy institutions
</li><li>Are familiar with federal budgeting cycles
</li><li>Have experience with AI, cybersecurity, defense technology, cloud infrastructure, or emerging technology policy
</li><li>Have advised senior government officials, executives, or technology leaders
</li><li>Understand both the public and private sector perspectives on innovation and regulation
</li><li>Are passionate about ensuring the United States remains the global leader in AI development and deployment
</li></ul><h2 class="jobSectionHeader">Equal Opportunity</h2>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</div></div>

AI Policy Lead

Fivetran

<div><div>From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven.</div>
About the Role

Fivetran is a leading automation data integration platform, enabling businesses to centralize, secure and transform data. Fivetran is building data pipelines to power the modern data stack for thousands of companies.

As AI and AI policy develop in real time, securing the movement of data has never been more important or urgent.

We're looking for a VP of Government Affairs to drive this critical technology policy and articulate Fivetran's role at the center of it.

In this role you will build and lead Fivetran's government relations function as a single-threaded owner. Reporting directly to the Chief Legal Officer, this role will define and execute the company's strategy across lobbying, political engagement, and public policy&mdash;ensuring Fivetran is proactively shaping the regulatory and political landscape in which it operates.

This is a highly strategic, externally facing role responsible for influencing policy outcomes, building relationships with key decision-makers, and coordinating company-wide engagement on government affairs. You will partner closely with executive leadership, including the CEO, to elevate Fivetran's presence in policy discussions and navigate complex regulatory and competitive dynamics.

This is a full-time work from home position based out of Washington, D.C. with travel as needed.

What You'll Do
<ul>
<li>Build and own Fivetran's government affairs and political strategy from the ground up
</li>
<li>Design and execute a comprehensive lobbying and policy engagement strategy aligned with company priorities
</li>
<li>Develop and manage Fivetran's political engagement strategy, including campaign contributions, PAC/C4 alignment, and external political relationships
</li>
<li>Establish and maintain relationships with policymakers, regulators, trade associations, and industry coalitions
</li>
<li>Lead development of Fivetran's policy positions, including drafting briefs, comment letters, and external communications
</li>
<li>Deploy an AI-enabled policy function to track legislative and regulatory developments in the data, AI, privacy, competition/antitrust and technology landscapes, identify and engage stakeholders, and generate engagement strategies and policy positioning to disseminate actionable recommendations across the organization
</li>
<li>Support regulatory strategy, investigations and potential litigation efforts
</li>
<li>Identify and mitigate policy or regulatory risks, including those driven by competitors or market dynamics
</li>
<li>Act as the quarterback for all government affairs-related communications and engagement, ensuring alignment across Legal, Communications, and executive leadership
</li>
</ul>Technologies You'll Use
<ul>
<li>Policy and regulatory tracking tools (e.g., FiscalNote, Quorum)
</li>
<li>CRM and stakeholder engagement platforms
</li>
<li>Data analysis tools to assess regulatory and policy impact
</li>
<li>Collaboration tools (Slack, Google Workspace) 
Legal and compliance research platforms
</li>
<li>AI tools (e.g., ClaudeAI, ChatGPT, Gemini)
</li>
</ul>Skills We're Looking For
<ul>
<li>12+ years of experience in government affairs, public policy, political strategy, or related fields
</li>
<li>Proven track record of building and leading government affairs or policy functions, ideally in tech or a highly regulated industry
</li>
<li>Deep expertise in U.S. political and regulatory systems, including lobbying, campaign finance, and policy development
</li>
<li>Strong network across U.S. Federal, State and local policymakers, regulators, and political stakeholders
</li>
<li>Experience advising senior executives and orchestrating high-level government engagement
</li>
<li>Ability to operate independently as a founding leader of the function in a fast moving, build-from-scratch environment
</li>
<li>Exceptional communication and influence skills, including experience shaping policy narratives and external positioning
</li>
<li>Bachelor's degree in a relevant field such as political science, government or equivalent experience. JD, MPP/MPA also welcome, but not required.</li></ul> 
 
 
#LI-REMOTE #LI-SR1<div> 

Perks and Benefits
<ul>
<li>100% employer-paid medical insurance*</li>
<li>Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off</li>
<li>RSU stock grants*</li>
<li>Professional development and training opportunities</li>
<li>Company virtual happy hours, free food, and fun team-building activities</li>
<li>Monthly cell phone stipend</li>
<li>Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.</li>
</ul>
<ul><li>May vary by country and worker type - please reach out to your recruiter for more information</li></ul>

Click here to learn more about Fivetran's Benefits by Region.

We're honored to be valued at over $5.6 billion, but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion &amp; belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.</div></div>

Vice President, Government Affairs

Deloitte

<div>As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity &amp; Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern. 
 
Work you'll do 
 
As an Identity &amp; Gen AI Engineer on the Identity and Access Management team, you will be responsible for... 
 
<ul><li>Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.</li></ul> 
<ul><li>Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.</li></ul> 
<ul><li>Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.</li></ul> 
<ul><li>Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.</li></ul> 
<ul><li>Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.</li></ul> 
<ul><li>Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.</li></ul> 
A successful candidate would possess these skills: 
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul> 

The team 
 
Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success. 
 
Our Digital Trust &amp; Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field</li><li>
Ability to work onsite up to 5 days a week.</li><li>
3+ years of software engineering experience with Python or a comparable language
</li><li>1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
</li><li>Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
</li><li>Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
</li><li>Ability to obtain and maintain the necessary security clearance.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li></ul> 
Preferred: 
<ul><li>
Experience deploying generative AI solutions to production environments
</li><li>Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
</li><li>Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
</li><li>Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
</li><li>Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
</li><li>Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
</li><li>Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
</li><li>2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
</li><li>Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
</li><li>1+ year of experience supporting federal government environments
</li>1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible 
<li>
</li></ul> 
 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Senior Consultant, Strategy, Growth, and Transformation, Identity & Gen AI Engineer

Two Six Technologies

<div><div>At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.</div>
Overview of Opportunity

Two Six Technologies is seeking a Principal Research Scientist to lead technical program delivery and drive business development in new R&amp;D projects in AI/ML, applied statistics, and advanced analytics. Applications may include grey zone conflict, economics, cybersecurity, cognitive modeling, counter-adversarial AI, and broader DoW challenges. A successful candidate will deliver technical excellence while identifying, pursuing and winning new work for the team to grow into. They will also steward existing projects and staff to successful delivery. Therefore, candidates with experience and customer relations in other domains are also strongly encouraged to apply.

We are a research and development focused group, looking for research leaders who are comfortable quickly developing innovative solutions for customer needs, as well as leading teams of PhDs, researchers, and engineers to innovate, develop and deliver transformative capabilities for National Security. Ideal candidates bring a critical and rigorous approach to research, modeling and analysis, have a strong understanding of the tradeoffs between different modeling approaches, can explain complex approaches clearly to technical and non-technical audiences, and bring a flexible and creative approach to innovating for highly technical customers.

The work will be onsite in our Arlington, Virginia office.

Responsibilities:
<ul>
<li>Perform as technical lead on interdisciplinary projects; mentor junior team members on both technical and non-technical skills</li>
<li>Serve as a technical expert in a variety of AI, statistical, and analytics methodologies on a variety of programs and proposals</li>
<li>Identify, shape, and propose to AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions</li>
</ul>
Qualifications:
<ul>
<li>Prior experience in building out capabilities that could support grey zone conflict or economic statecraft</li>
<li>Building predictive machine learning models for time series data</li>
<li>Mastery of several different subfields and approaches within AI/ML and statistical analysis; demonstrated ability to reason over the tradeoffs when choosing modeling approaches</li>
<li>Demonstrated experience innovating with foundational model tools for rapid research acceleration</li>
<li>Ability to write and review R, Python, or SQL code; fluency and comfort with git, CI/CD practices</li>
<li>Experience in winning and delivering new R&amp;D programs while growing new capabilities in a team</li>
<li>Holds significant relationships with key personnel in DARPA, other DOD research agencies, and broader government or private-sector sponsors</li>
<li>Experience developing and writing solutions for customers in a wide range of domains and applications</li>
<li>Ability to collaborate across disciplines and business units to bring innovative AI and analytics solutions to support capabilities and needs across the organization</li>
<li>Ten or more years of professional experience in a CS, Mathematics, Statistics or related field</li>
<li>Experience leading both AI / analytics researchers (including PhDs), practitioners, and software engineers on government contracts</li>
<li>Experience in project planning, agile development, and a variety of sprint management methods</li>
<li>Strong and flexible communication that adapts to the specific needs of the audience</li>
<li>Works well in and fosters a culture of respect, curiosity, humility and excellence\</li>
<li>Active Top Secret with SCI-eligible security clearance</li>
</ul>
Nice to haves:
<ul>
<li>Advanced degree and/ or publications in CS, Mathematics, Statistics or related field</li>
<li>Experience working with ISR data and maritime track data</li>
<li>Experience integrating with Maven Smart System</li>
<li>Intellectual curiosity across multiple domains and demonstrated success applying analytics to novel mission areas</li>
<li>Active TS/SCI</li>
</ul>
Clearance Requirements:
<ul>
<li>Active Top Secret / SCI-eligible security clearance</li>
</ul>
#LI-MS1

#onsite<div><div><div> 

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings!

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.</div></div></div></div>

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

US Office of Management and Budget

Supervisory Program Analyst (Artificial Intelligence)

SAIC

<div>Job ID: 2613789
Location: Washington, DC, US
Date Posted: 2026-06-17
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID 
Description
We are seeking an Enterprise Data and AI Solutions Scientist to join our Hyperautomation team. This role is designed for an analytically curious and technically versatile &ldquo;data hunter&rdquo; who thrives when the required data source, system, field, or solution has not yet been identified.
The successful candidate will lead investigative data-discovery efforts across enterprise platforms, determine where relevant information resides, evaluate its reliability, correlate records across disparate systems, and translate findings into repeatable analytics, AI-enabled data-enrichment capabilities, and automated workflows.
This position goes beyond querying known datasets or producing predefined reports. It requires someone who can take an ambiguous business objective, investigate multiple enterprise systems, identify relationships among incomplete or conflicting datasets, and develop an evidence-based approach to solving the problem. This individual will bridge the gap between raw enterprise data, intelligent data enrichment, and automation.
What You Will Bring to the Team
You are more than a reporting specialist or traditional data scientist. You are comfortable beginning with an unanswered question, navigating unfamiliar enterprise systems, testing
This role is hybrid and reports onsite in Washington, DC at least 1 day a week and as required for meetings, testing or other gov activities as directed by their lead.
Key Responsibilities:<ul><li>
Investigative Data Discovery: Lead data-hunting and investigative analytics efforts in support of complex business, operational, security, and hyperautomation use cases.</li><li>
Platform Exploration: Investigate enterprise platforms, particularly Splunk and ServiceNow, to identify relevant indexes, sourcetypes, tables, fields, APIs, relationships, and authoritative data sources.</li><li>
Data Correlation and Reconciliation: Identify correlation keys across disparate systems, including configuration-management, endpoint, identity, asset, and operational data. Develop methods for reconciling incomplete, inconsistent, duplicated, or conflicting records.</li><li>
Advanced Querying and Scripting: Develop and optimize searches, queries, scripts, and analytical workflows using SPL, SQL, Python, REST APIs, and related data-retrieval technologies.</li><li>
AI-Driven Data Enrichment: Use approved AI and Generative AI capabilities, including prompt-based APIs, to normalize data, extract attributes, and generate missing data points from available record-level context. Examples may include using known IT asset manufacturers and models to determine or infer lifecycle attributes such as End of Life or End of Support.</li><li>
AI Output Validation: Evaluate AI-generated attributes for accuracy, consistency, and business usability. Clearly distinguish authoritative source data from inferred or generated information and document supporting evidence, confidence, and known limitations.</li><li>
Automation Integration: Partner with RPA, workflow, and data-engineering teams to convert successful analytical discoveries and enrichment processes into repeatable, governed, and sustainable enterprise capabilities.</li><li>
Solution Design: Help determine whether a use case is best addressed through data engineering, API integration, business-process automation, robotic process automation, AI-enabled enrichment, or a hybrid approach.</li><li>
Prototyping and Communication: Develop prototypes, proofs of concept, dashboards, and visualizations. Communicate findings, data limitations, technical risks, and recommendations to both technical teams and senior leadership.</li></ul>
Core Competencies:<ul><li>
Investigative Curiosity: A persistent drive to explore unfamiliar systems and data structures until a defensible answer or path forward is identified.</li><li>
Systems Thinking: The ability to understand how data flows across applications, infrastructure, identity systems, assets, and business processes.</li><li>
Evidence-Based Discipline: A rigorous approach to validating conclusions, documenting data lineage, and distinguishing authoritative, derived, and AI-generated information.</li><li>
Solution Orientation: The ability to turn one-time discoveries into reusable, scalable, and supportable enterprise capabilities.</li><li>
Consultative Communication: The ability to translate complex data findings into clear, actionable recommendations for technical and business stakeholders.</li></ul>
Illustrative Use Cases:<ul><li>
Correlating security, endpoint, identity, asset, and service-management data across Splunk, ServiceNow, and other platforms to identify vulnerable, unsupported, or untracked enterprise assets.</li><li>
Sending known asset attributes, such as manufacturer, model, product family, and software version, to an approved AI service to generate missing lifecycle information, including estimated End-of-Life and End-of-Support dates.</li><li>
Using AI to normalize inconsistent manufacturer names, product models, application titles, organizational values, and other records that cannot be reliably standardized through static rules alone.</li><li>
Validating AI-generated data against available evidence, documenting the basis for each determination, and flagging low-confidence or conflicting results for human review.</li><li>
Mapping a manual data-gathering and reconciliation process and redesigning it as an automated pipeline using Databricks, APIs, ServiceNow, Splunk, Power Automate, or RPA technologies.</li></ul>
Qualifications
Required Education &amp; Experience:<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related technical discipline and at least 2-5 years of relevant professional experience. Equivalent practical experience may be considered in lieu of a degree.</li><li>
Demonstrated experience conducting data discovery or investigative analytics when the required data sources, fields, or technical approach were not predefined.</li><li>
Hands-on Splunk experience, including SPL development, index and sourcetype discovery, field analysis, lookups, joins, and cross-source data correlation.</li><li>
Hands-on experience navigating and querying ServiceNow data structures, including CMDB, asset, operational, or related enterprise tables and APIs.</li><li>
Strong proficiency in SQL and Python for data retrieval, manipulation, integration, and analysis.</li><li>
Experience working with REST APIs, JSON, and structured or semi-structured data.</li><li>
Practical experience using AI, Generative AI, or prompt-based services to extract, classify, normalize, infer, or enrich enterprise data.</li><li>
Experience evaluating and validating generated or inferred data before incorporating it into analytics, reporting, or operational processes.</li><li>
Ability to work independently in ambiguous environments, formulate and test hypotheses, and adapt based on emerging findings.</li><li>
Strong analytical, problem-solving, documentation, and technical communication skills.</li></ul>
Required Clearance:<ul><li>
US Citizenship.</li><li>
Active Secret Clearance.</li></ul>
Preferred Qualifications:<ul><li>
Experience with Databricks, Apache Spark, Delta Lake, or cloud-based lakehouse architectures.</li><li>
Experience integrating with AI or large language model services through APIs, including prompt design, structured outputs, response evaluation, and exception handling.</li><li>
Experience developing or supporting workflows using Microsoft Power Automate or UiPath.</li><li>
Experience operationalizing AI-generated or AI-enriched data through automated pipelines, dashboards, workflow tools, or human-in-the-loop review processes.</li><li>
Familiarity with Retrieval-Augmented Generation, semantic matching, embedding models, vector databases, entity resolution, or related information-retrieval techniques.</li><li>
Experience working in federal government, regulated-industry, cybersecurity, IT asset-management, or large-scale enterprise environments.</li></ul>
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Enterprise Data and AI Solutions Scientist

Databricks

<div>CSQ227R88
PLEASE NOTE:
 
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>6+ years experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</li>
</ul><div><div><div>Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 
 
</div><div>Zone 1 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 2 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 3 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 4 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div></div><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Forward Deployed Engineer (FDE) - Public Sector

Explore 152+ Ai policy lead in Washington this July. Find roles across top companies and apply now to boost your career.