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Today

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

Today

Full time AI Amazon Web Services Artificial Intelligence

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Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML applications on AWS, with a focus on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role centers on delivering secure AI services that integrate with live infrastructure data, built to scale and operate within live environments. The position is based in Pittsburgh, PA with remote work options and requires seven years of hands-on software engineering experience.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to implement cloud infrastructure, machine learning features, and AI platform capabilities.
Own the deployment of AWS cloud services, spanning infrastructure, ML workflows, and AI platform services.
Develop and maintain LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support a reusable set of platform components for AI/ML operations and their evolution.
Create and maintain technical documentation for the team and internal customers.
Provide clear verbal and written communication in English.

Requirements

Seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Experience navigating AWS organizations and policy guardrails such as SCP and AWS Config.
Solid track record implementing RAG architectures and using LangChain.
Proven experience with Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

Python, Bedrock, SageMaker
ECS, Lambda, Step Functions
DynamoDB, S3
LangChain, Transformers, PyTorch, TensorFlow
Terraform, Git, GitHub
Hugging Face, Node.js, Golang
Terraform Sentinel, AWS Config, SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses

Top Skills

Experience with AWS services including Bedrock, SageMaker, ECS, and Lambda
Strong knowledge of AWS organizations and policy guardrails (SCP, AWS Config)
Proficiency in implementing RAG architectures and using ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code best practices and building Terraform modules for AWS
Fine-tuning large language models, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
AWS or relevant cloud certifications
Data privacy and compliance best practices, including secure model deployment
Data science background or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face, Node.js
Policy as Code development (Terraform Sentinel)

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2d ago

Support Desk Data Analyst

NDE, Inc. Columbia, SC

Columbia, SC

2d ago

$75k - $80k/yr Contract Analyst Analytics Business Intelligence

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Job Description

NDE, Inc. is seeking a Support Desk Data Analyst to support EOUSA/USAO on a contract basis, onsite in Columbia, SC. The role centers on validating the service desk performance, processes, metrics, and customer satisfaction, and developing reports and recommendations to improve data quality and service delivery. This position offers a salary range of USD 75,000 to 80,000 per year.

Responsibilities

Performs validation of the service desk to include services, processes, metrics, and customer satisfaction based on business requirements.
Communicates with analysts and engineers about formal evaluation plans, problems, and results.
Devises creative solutions to problems.
Assists with roll-out of systems documentation.
Produces lists of service deficiencies that are to be resolved and provides recommendations to incorporate changes to established processes.
Generates and interprets complex reports on both current and historical data.
Performs technical evaluations on assigned personnel.
Develops standards, methods, and procedures to improve product and service quality, readiness, and availability.
Identifies, diagnoses and develops plans to resolve problems in response to customer reported incidents; researches, evaluates and provides feedback on problematic trends and patterns across the environment and develops and implements measures to remediate.
Collaborates with Support teams to foster a team-based approach to high quality solutions and drive appropriate changes to ensure high quality deliverables.

Requirements

2-4 years of experience in a technical support position
Must be able to write T-SQL queries (simple/intermediate/complex) against various Microsoft databases and Data Warehouse databases.
1–2 years of demonstrated experience with relational database queries and transactions, including stored procedures using SQL Server 2019 databases.
Demonstrated experience designing, creating, testing, and implementing simple/complex reports using SQL Server Reporting Services.
Candidates need quantitative, teamwork and problem-solving abilities, as well as a thorough knowledge of relational database theory and practice.

Technologies

T-SQL
SQL Server
SQL Server Reporting Services
System Center Service Manager (SCSM)
Cireson Portal

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Professional development assistance
Vision insurance

Period of Performance

1 Oct 2025 – 30 Sept 2026

Place of Performance

Columbia, SC

Equipment Furnished

The government/client will provide equipment to complete job.

Security Requirements

All personnel, including the support required by this initiative, must be United States Citizens, and must meet the DOJ Residency Requirement. It is the responsibility of the Contractor to assure that proposed employees for each aspect of this task have met federal investigative standards and are suitable for employment and/or access to national security information. Certification of requirements from either the Office of Personnel Management (OPM) or the Defense Industrial Security Clearance Of

Work Location

In person

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4d ago

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Deloitte Philadelphia, PA

Philadelphia, PA

4d ago

Full time Agentic Ai AI Enablement Cloud Solutions

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Job Description

Deloitte's Cyber team is expanding capabilities in secure generative AI, identity and access governance, and resilient AI delivery. The Delivery Senior Consultant, Identity & Gen AI Engineer role centers on engineering secure GenAI solutions with built-in identity, access, and trust controls, embedding IAM into GenAI delivery across enterprise and cloud environments. This hybrid Philadelphia-based position blends on-site collaboration with remote work as projects require.

Responsibilities

Build and integrate generative AI capabilities, including LLM apps, retrieval-augmented generation flows, and AI agents, while ensuring secure data access and connectivity to downstream systems.
Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.
Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Implement logging, monitoring, and governance to provide traceability and accountability for AI system actions.
Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.
Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

Technologies

Python
Claude Code
OpenAI Codex
GitHub Copilot
Cursor
SailPoint
Okta
Microsoft Entra ID
HashiCorp Vault
CyberArk
LangChain
LangGraph
Model Context Protocol (MCP)
Open Policy Agent (OPA)
Cedar
OpenFGA
AWS
Microsoft Azure
Terraform
Ansible
OpenID Connect (OIDC)
SAML
OAuth
JSON Web Token (JWT)

The Team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. You will contribute to delivering powerful solutions that help clients navigate an evolving threat landscape. Through integrated solutions and managed services, we enable clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Qualifications

Required: Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field; ability to work onsite up to 5 days a week; 3+ years of software engineering experience with Python or a comparable language; 1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as LLM applications, retrieval-augmented generation, or AI agents, including use of model APIs, orchestration frameworks, and AI development tools (Claude Code, OpenAI Codex, GitHub Copilot, Cursor); working knowledge of identity and access management concepts and protocols (authentication, authorization, SSO) and standards (OIDC, SAML, OAuth, JWT); ability to travel 15% on average; ability to obtain and maintain necessary security clearance; must be legally authorized to work in the United States without employer sponsorship now or in the future; hybrid work model requiring residence within commutable distance to Deloitte US Delivery Center locations (Gilbert, Lake Mary, Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, Philadelphia); up to 30% of working time co-located at an assigned office; maximum 10% overnight travel; relocation within 12 weeks if needed.
Preferred: Experience deploying generative AI solutions to production; hands-on experience with SailPoint, Okta, or Microsoft Entra ID; experience securing non-human identities and credentials using Vault or CyberArk; experience with AI agent frameworks and protocols such as LangChain, LangGraph, or MCP; experience with fine-grained authorization or policy-as-code using OPA, Cedar, or OpenFGA; familiarity with AI security risks and governance frameworks (OWASP Top 10 for LLMs, AI RMF); 2+ years of cloud workload experience (AWS, Azure); professional security certifications (CISSP, CCSP, AWS Solutions Architect, or Azure Solutions Architect); 1+ year supporting federal government environments; 1+ year with infrastructure-as-code or automation tools such as Terraform or Ansible.

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IT Services Data Jobs

AWS AI Engineer

Support Desk Data Analyst

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

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