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Today

AWS Agentic AI Engineer

Cognizant Dallas, TX

Dallas, TX

Today

Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

This hybrid role in Dallas, TX focuses on designing, building, and deploying autonomous and semi-autonomous AI agents on AWS. You will work with goal-driven, tool-using, multi-step systems that combine AWS AI/ML services with LLMs, while integrating enterprise systems and emphasizing production-grade safety and reliability.

Responsibilities

Design and develop agentic AI systems using Amazon Bedrock and other foundation models, including Claude and Titan.
Build autonomous and semi-autonomous AI agents that perform multi-step reasoning, planning, tool usage, action execution, and human-in-the-loop collaboration.
Integrate with Amazon SageMaker for custom model training, fine-tuning, evaluation, and experimentation.
Implement Retrieval Augmented Generation (RAG) solutions using Amazon OpenSearch, Amazon Aurora, DynamoDB, and vector databases such as FAISS or Pinecone.
Optimize inference cost, latency, scalability, and reliability across AI workloads.
Implement guardrails, validation layers, and human-in-the-loop controls to support safe, reliable, and predictable AI behavior.
Address hallucination mitigation, prompt injection risks, bias concerns, and model misuse scenarios.
Ensure compliance with enterprise AI governance, security, and regulatory standards.
Implement comprehensive logging, monitoring, observability, and audit trails for AI systems.
Support production deployments, incident resolution, and root cause analysis for AI services.
Continuously improve agent performance, reliability, robustness, and usability through iteration, monitoring, and feedback.
Collaborate with architecture, DevOps, data engineering, security, and business teams to deliver end-to-end AI solutions.

Requirements

Bachelor’s degree in computer science, Engineering, Technology, or a related field, with 8–12 years of overall IT experience and at least 3+ years of hands-on experience building agentic AI solutions using AWS cloud-native services.
Strong expertise in core AWS services: AWS Lambda, Step Functions, EventBridge, S3, DynamoDB or Aurora, OpenSearch, Amazon Bedrock, and Amazon SageMaker.
Advanced proficiency in Python for building scalable AI systems and automation workflows.
Proven experience leading the technical design and implementation of complex AI agent architectures and components.
Hands-on experience designing RAG solutions and applying model fine-tuning techniques.
Demonstrated ability to manage performance, scalability, reliability, and cost optimization of AI workloads in production environments.
Proven experience conducting code reviews, leading knowledge-sharing sessions, and making critical decisions on technologies, architectures, and frameworks.
Healthcare domain experience is desirable, along with knowledge of AI safety, governance, compliance, and responsible AI practices.
AWS certifications such as Solutions Architect or Machine Learning Specialty are preferred; experience with LangChain and LangGraph is a plus.
Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.

Required Skills & Technologies

AWS, Amazon Bedrock, Amazon SageMaker, Amazon OpenSearch, Amazon Aurora, DynamoDB
AWS Lambda, Step Functions, EventBridge, S3
Python
Claude, Titan
FAISS, Pinecone
LangChain, LangGraph

Experience

Minimum experience: 3 years
Education: Bachelor’s degree

Location

Dallas, TX (hybrid)

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9d ago

Data Scientist/Manager

Probity Inc. Chantilly, VA

Chantilly, VA

9d ago

Full time Manager Aws Cloud Cloud Data Engineering

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Job Description

Probity Inc. is seeking a Data Scientist/Manager to support system engineering integration of commercial off-the-shelf (COTS) capabilities, along with data science evaluation of AI and ML solutions. The role also focuses on cloud-enabled systems and multimedia forensics for deepfake creation and detection in a customer environment.

Location

Chantilly, VA (onsite)

Security Clearance

This role requires an ACTIVE Top Secret/SCI clearance with polygraph. Applicants must have an ACTIVE clearance level of Top Secret/SCI with polygraph to be considered.

Role Focus

Support system engineering integration by coordinating and documenting the introduction of new COTS capabilities into a customer environment
Provide data science support to evaluate new AI/ML capabilities within a customer environment
Support systems that leverage cloud services and cloud infrastructure
Conduct multimedia forensics covering images, videos, and audio
Apply current methods for deepfake creation and detection

Required Qualifications

Demonstrated experience providing system engineering support of integration, coordination, and documentation of new COTS capabilities into a customer’s environment
Demonstrated experience providing data science support of evaluation of new AI/ML capabilities into a customer’s environment
Demonstrated experience supporting and developing systems leveraging cloud services and cloud infrastructure
Demonstrated experience conducting forensics of multimedia (images, videos, and audio)
Demonstrated experience with current deepfake creation and detection methods

Technologies

Cloud services
Cloud infrastructure
AWS Cloud services
Linux
MS Teams

Desired Skills

Demonstrated project management experience
Demonstrated experience using MS Teams
Demonstrated experience supporting lifecycle processes related to publicly available information collected to address a specific requirement
Demonstrated experience with an existing Sponsor environment relating to the collection and processing of publicly available information
Demonstrated experience with AWS Cloud services
Demonstrated experience with Linux

Position Code

03-DM0924-1

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AWS Agentic AI Engineer

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