AI/ML Engineer
The Opportunity:
Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies to include ML-based NLP, Generative AI, Deep Neural Networks, and AI/ML technologies. Applies advanced advisory skills or extensive technical expertise with full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.
Join us. The world can't wait.
You Have:
5+ years of experience developing, deploying, and sustaining AI, machine learning, data science, or advanced analytics solutions in production environments
Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics
Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities
Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support
Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift
Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments
Knowledge of CI/CD, version control, Infrastructure-as-Code, observability, and deployment automation
Top Secret clearance
HS diploma or GED
Nice If You Have:
Experience with Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, or Airflow
Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments
Experience developing enterprise dashboards and analytical products using Power BI, Tableau, Looker, or similar visualization platforms
Ability to successfully explain AI solutions to a non-technical audience
Possession of strong written, verbal, briefing, technical documentation, and executive communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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’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’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 $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’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. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
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.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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.
CLIENT
Kforce/United Airlines
POSITION
GenAI Solutions Architect
LOCATION
Remote
DURATION
6 Month C2H
BILL RATE
$95/hr C2C
INTERVIEW TYPE
Video
VISA RESTRICTIONS
Must be able to convert without sponsorship
REQUIRED SKILLS
Required Qualifications
8+ years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles.
Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines.
Hands-on experience architecting Generative AI solutions in enterprise environments.
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
Experience with Agentic AI frameworks and autonomous workflow orchestration.
Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies.
Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization.
Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations.
Excellent communication, presentation, and stakeholder management skills.
Technical Requirements
Experience with several of the following technologies:
Large Language Models (OpenAI, Claude, Gemini, Llama, etc.)
RAG Architecture
Agentic AI Frameworks
Vector Databases:
Pinecone
Weaviate
Chroma
FAISS
Google Vertex AI
AWS SageMaker
Hugging Face
LangChain
LangGraph
LlamaIndex
Python
Machine Learning & Deep Learning Frameworks
Cloud Platforms (AWS, GCP, Azure)
API Design & Integration
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