Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Artificial Intelligence and Machine Learning Engineer, Senior at Booz Allen

Ford Island, Hawaii, USA -

Full Time

Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

99000.0

Posted On

20 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Good communication skills

Industry

Information Technology/IT

Description

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design adaptable AI application architectures that support multiple providers, modalities, and deployment modes.
Build modular and reusable components and frameworks for rapid creation of new AI-powered capabilities.
Integrate LLMs, embeddings, and retrieval-augmented generation (RAG) patterns into production-ready systems.
Apply prompt engineering, orchestration frameworks such as LangChain, and agent-based architectures such as MCP and A2A, to enable goal-directed autonomy with guardrails, observability, and human oversight, including planning, tool use, and delegation.
Architect and optimize AI applications for various deployment scenarios, including embedded, offline-capable, and hybrid solutions.
Implement model evaluation, benchmarking, and optimization for cost, latency, and accuracy.
Develop pipelines for preparing, chunking, and enriching structured or unstructured data for AI workflows.
Combine text, audio, and other modalities in unified processing workflows, including document summarization and voice transcription.
Leverage vector databases and hybrid search to enhance retrieval accuracy in RAG systems.
Deploy AI services securely and at scale on AWS or equivalent cloud platforms.
Use containerizing, including in Docker or Kubernetes, or serverless approaches for flexible deployment.
Apply CI/CD best practices for AI applications, including automated testing, prompt or version management, and model deployment.
Leverage modern build and packaging workflows to deliver optimized, portable application artifacts.
Collaborate with clients to identify high-value AI opportunities and define solution requirements.
Present AI capabilities and technical solutions to both technical and non-technical stakeholders.
Lead workshops and prototyping sessions to accelerate adoption.
Provide guidance on responsible AI practices, ethics, and compliance.
Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks.
Join us. The world can’t wait.