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ai engineer / data scientist, ai manager Jobs in Washington

ai engineer / data scientist, ai manager

ai solutions architect Jobs in Washington

ai solutions architect

ai engineer data scientist ai manager

<div>At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. 
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member&rsquo;s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>
Analyse and identify the linkages and interactions between the component parts of an entire system.</li><li>
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.</li><li>
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.</li><li>
Develop skills outside your comfort zone, and encourage others to do the same.</li><li>
Effectively mentor others.</li><li>
Use the review of work as an opportunity to deepen the expertise of team members.</li><li>
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.</li><li>
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.</li></ul> 
The Opportunity
As part of the AI Engineering team, you will design, test, and deploy innovative AI/ML solutions that drive productivity and innovation. As a Manager, you will lead teams, mentor junior staff, and leverage your knowledge to secure successful project delivery while cultivating meaningful client relationships. This role offers a unique chance to stay at the forefront of industry trends and champion AI-assisted development, making a significant impact on our processes and solution design.
Responsibilities<ul><li>Design, test, and implement advanced AI and machine learning solutions</li><li>Collaborate with diverse teams to secure project alignment and success</li><li>Stay updated on industry advancements and practices for continuous improvement</li><li>Advocate for the use of AI tools to enhance operational productivity</li><li>Provide mentorship and constructive feedback to junior staff</li><li>Inspire and motivate team members to achieve exceptional performance</li><li>Manage project timelines and deliverables to meet client expectations</li><li>Analyze complex problems and develop innovative solutions</li></ul>
What You Must Have<ul><li>Bachelor's Degree</li><li>At least 5 years of professional AI / ML development or testing experience</li><li>At least 1 year of experience as a technical lead or engineering / data science manager</li></ul>
What Sets You Apart<ul><li>Bachelor's Degree in Accounting, Business Analytics, Analytics, Software Engineering, Computer Engineering preferred</li><li>Ability to implement AI thinking in teams</li><li>Driving efficiencies across engineering or data science workflows</li><li>Testing AI effectively</li><li>Analyzing and building data models</li><li>Preprocessing and handling large datasets</li><li>Developing and deploying models in PyTorch, TensorFlow, or JAX</li><li>Staying current on industry trends and tools</li><li>Mentoring junior team members with coaching and feedback</li></ul> 
The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines</div>

AI Engineer / Data Scientist, AI Manager

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Demonstrated proficiency in related technical, statistical, and mathematical skills
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

Data Scientist

Cloudera

<div>Business Area:
Professional Services
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world&rsquo;s largest enterprises.
As an AI Solutions Engineer within Cloudera&rsquo;s Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from &quot;data chaos&quot; to &quot;agentic autonomy.&quot; You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).
This is not a &quot;theoretical&quot; role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys&mdash;helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.
As the AI Solutions Engineer you will:
1. AI Model Strategy, Selection and Implementation<ul><li>
Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.</li><li>
Guide customers on &quot;Build vs. Buy vs. Fine-tune&quot; decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.</li><li>
Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).</li></ul>
2. End-to-End Data Engineering<ul><li>
Design and implement robust data pipelines within CDP to transform &quot;messy&quot; legacy data into AI-ready formats.</li><li>
Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.</li><li>
Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.</li></ul>
3. Optimization &amp; Performance Tuning<ul><li>
Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).</li><li>
Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.</li></ul>
4. Public Sector Advisory &amp; Governance<ul><li>
Collaborate with the customer&rsquo;s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.</li><li>
Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.</li></ul>
We&rsquo;re excited about you if you have: (Minimum Qualifications):<ul><li>
Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.</li><li>
Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).<ul><li>
Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.</li><li>
Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.</li><li>
Experience developing visual data representations and dashboards (Django, React, or Angular)
</li><li>Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)</li></ul></li><li>
Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).</li><li>
Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).</li><li>
Active Top Secret Security Clearance</li></ul>
You may also have: (Preferred Qualifications)<ul><li>
Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.</li></ul><ul><li>
Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.</li><li>
Experience installing and operating Cloudera Data Platform</li><li>
Experience installing and operating Kubernetes</li><li>
Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.</li><li>
Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.</li><li>
CI or FSB Poly</li></ul>
This role is not eligible for immigration sponsorship
What you can expect from us:<ul><li>
Generous PTO Policy</li><li>
Support work life balance with Unplugged Days</li><li>
Flexible WFH Policy</li><li>
Mental &amp; Physical Wellness programs</li><li>
Phone and Internet Reimbursement program</li><li>
Access to Continued Career Development</li><li>
Comprehensive Benefits and Competitive Packages</li><li>
Paid Volunteer Time</li><li>
Employee Resource Groups</li></ul>
EEO/VEVRAA
#LI-MH2
#LI-Remote</div>

AI Solutions Architect

Amivero

<div>
 
 Amivero Team
 
 
 
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 
 
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 
 
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 
 
 
 Special Requirements
 
 
 
 <ul>
 <li>
 US Citizenship Required to obtain Public Trust
 </li>
 <li>
 Active DHS Clearance (preferred)
 </li>
 <li>
 Bachelor Degree + 10 years of experience
 </li>
 <li>
 3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
 </li>
 <li>
 Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
 
 
 
 </li>
 </ul>
 
 The Gist&hellip;
 
 
 
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
 </li>
 <li>
 Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
 </li>
 <li>
 Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
 </li>
 <li>
 Preprocess, clean, and transform data to ensure high-quality inputs for model training.
 </li>
 <li>
 Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
 </li>
 <li>
 Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
 </li>
 <li>
 Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
 </li>
 <li>
 Ensure data integrity and quality throughout the data lifecycle.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and implement improvements as needed.
 </li>
 <li>
 Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
 </li>
 <li>
 Implement best practices for model versioning, deployment, monitoring, and retraining.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
 </li>
 <li>
 Document model design, assumptions, data sources, and performance results.
 </li>
 <li>
 Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
 </li>
 <li>
 Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
 </li>
 <li>
 A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
 </li>
 <li>
 Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
 </li>
 <li>
 Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work with cross-functional teams.
 </li>
 <li>
 Experience mentoring or guiding less experienced AI/ML engineers is a plus.
 
 
 
 </li>
 </ul>
 EOE/M/F/VET/DISABLED
 
 
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>

AI/ML Developer

Amtrak

<div>Your success is a train ride away!
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. 
Are you ready to join our team?
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.<div><div><div><h2 class="jobSectionHeader"> 
Job Summary</h2></div><div>
The Data &amp; AI Engineer Specialist plays a key role in delivering Amtrak&rsquo;s enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role independently designs, builds, and maintains data and AI systems that make data discoverable, reliable, and actionable across the organization.
As a core member of the Digital Technology team, the Data &amp; AI Engineer transforms data requirements into scalable pipelines and services, ensures the integrity and quality of data products, and contributes to the continuous improvement of Amtrak&rsquo;s data and AI ecosystem. This position partners closely with platform, governance, and analytics teams to deliver trusted, production-ready data and insights.</div></div><div><div><h2 class="jobSectionHeader">
Essential Functions</h2></div><div><ul><li>Design, develop, and maintain data pipelines, AI frameworks and integration workflows supporting analytics and AI applications.</li><li>Implement data transformation, validation, and quality controls to ensure reliability and compliance with standards.</li><li>Collaborate with architects, analysts, and data scientists to operationalize data models and business logic.</li><li>Participate in agile planning, sprint delivery, and retrospectives to continuously improve team performance.</li><li>Document technical specifications, lineage, and best practices for data assets and workflows.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.</li><li>Experience: 2&ndash;4 years of hands-on experience in data engineering, integration, or software development.</li><li>Licenses/Certifications: None required.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications</h2></div><div><ul><li> Experience with data lakehouse or cloud data platforms.</li><li>Familiarity with metadata management, lineage, and observability practices.</li><li>Exposure to AI/ML pipeline development, automation frameworks, or MLOps concepts.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Knowledge, Skills, and Abilities</h2></div><div><ul><li>Proficiency in Python and SQL with strong foundations in data and AI architecture, including feature pipelines, model serving, and inference patterns.</li><li>Understanding of ETL/ELT concepts, APIs, and data pipeline orchestration.</li><li>Strong experience building federated data and feature models; performance tuning for analytics and AI workloads; designing reusable views and features; implementing caching, row-level security, and data contracts.</li><li>Experience working within cloud or hybrid data environments.</li><li>Strong analytical, debugging, and problem-solving skills.</li><li>Demonstrated ability to work independently and deliver high-quality results within an agile framework.</li><li>Effective collaboration and communication skills across technical and business stakeholders.</li></ul></div></div></div>
The salary/hourly range is $72,000.00 &ndash; $93,312.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee&rsquo;s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee&rsquo;s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. 
Requisition ID:166349
Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
 
Relocation Offered:No
 
Travel Requirements:Up to 25%
You power our progress through your performance.
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. 
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. 
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. 
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. 
Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. 
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.</div>

Data & AI Engineer - 90408785 - Washington

Booz Allen Hamilton

<div>AI DevOps Engineer
The Opportunity: 
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.
Are you ready to transform our nation's intelligence community with AIOps?
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI DevOps Engineer

Explore 489+ Ai engineer data scientist ai manager in Washington this May. Find roles across top companies and apply now to boost your career.

489 ai engineer data scientist ai manager jobs In Washington

AI Engineer / Data Scientist, AI Manager

Data Scientist

Data Scientist

AI Solutions Architect

AI/ML Developer

Data & AI Engineer - 90408785 - Washington

AI DevOps Engineer