Top 48 LangChain Models ChatGPT AWS cloud Jobs

Senior AI Enablement Engineer
ISHIR —Remote
- Contract
- Remote
- AWS
- APIs
- Senior level
Quick Apply
AI Engineer
ISHIR —Dallas, TX
- $80,000 - $100,000 an hour
- Contract
- Remote
- DevOps
- AWS
- APIs
Quick Apply
2d
AI Engineer
Rios Partners —Arlington, VA
- $100,000 - $110,000 a year
- Full-time
- Azure
- System design
- Mid-level
- Profit sharing
- Paid jury duty
AI Vibe Coding Engineer
Gruve —Remote
- Remote
- Azure
- Mid-level
- AWS
4d
AI ML Engineer (7+ Years)
InApp —Remote
- Remote
- 7 years
- Azure
- System design
Senior Software Engineer, Platform
HackerOne —Boston, MA
- $182,000 - $222,000 a year
- Full-time
- Hybrid work
- Background check
- 5 years
- Office
- Paid parental leave
- Paid holidays
AI/ML Software Developer
InterImage —Arlington, VA
- $85,000 - $130,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- SQL
- Profit sharing
- Dental insurance
Quick Apply
AI Engineer
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- Azure
- Management
- Research
- Health insurance
- Paid time off
14d
Forward Deployed Engineer
Arcade —San Francisco, CA
- Full-time
- Hybrid work
- Azure
- System design
- 3 years
Generative AI Applications Engineer (Agents & RAG)
Accenture Federal Services —San Francisco, CA
- $103,200 - $203,400 a year
- Remote
- Azure
- AWS
- Mentoring
3d
Lead AI Engineer
Equifax —Alpharetta, GA
- Full-time
- Azure
- Management
- Research
- Health insurance
- Paid time off
Enterprise GenAI Team Manager
MIT Lincoln Laboratory —Lexington, MA
- $123,400 - $166,600 a year
- Azure
- 5 years
- Databases
- Health insurance
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Senior Machine Learning Engineer III ***Raleigh, NC***
LexisNexis —Raleigh, NC
- $118,300 - $219,800 a year
- Full-time
- Computer Science
- System design
- Office
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX —Raleigh, NC
- $118,300 - $219,800 a year
- Full-time
- Computer Science
- System design
- Office
Data Scientist - AI Engineer
US Office of the Inspector General, USPS —Arlington, VA
- $85,447 - $158,322 a year
- Online Application
- Azure
- Computer Science
- Pass drug screening
- Paid holidays
- Health insurance
7d
AI Engineer / AI Analyst
Light & Wonder —Austin, TX
- $105,000 - $120,000 a year
- Full-time
- Azure
- 5 years
- AWS
8d
AI Principal Platform Architect - Tech Incubation Team
Wellmark, Inc. —Des Moines, IA
- Full-time
- Hybrid work
- Customer service
- Research
- SQL
Quick Apply
Senior Solutions Architect - HR Technology
Electronic Arts —Austin, TX
- Azure
- Computer Science
- System design
- Health insurance
- Paid time off
BCG Platinion | Lead IT Architect - AI Platforms
Boston Consulting Group —Durham, NC
- $190,000 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Profit sharing
- Paid parental leave
AI Solutions Engineer
ERM Group —Houston, TX
- Full-time
- Azure
- Computer Science
- Mid-level
8d

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LangChain Models ChatGPT AWS cloud jobs near

Senior AI Enablement Engineer

ISHIR -
Remote

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Job Details

Contract

Qualifications

AI models
Technology purchasing
Cost management
Tooling
Infrastructure as Code (IaC)
AI platforms (beyond public GPTs)
Reducing cloud infrastructure costs
AWS
Terraform
APIs
Cloud automation
DevOps automation
AI-driven automation
Continuous improvement for developers
SaaS
AI strategy
Developer tools
Project stakeholder communication
Python
Program budgeting
Stakeholder management

Full Job Description

AI Engineer
What You'd Be Doing

Drive an AI-first culture through internal playbooks and "golden-path" templates while measuring impact via DORA and SPACE metrics.
Manage AI costs through token budgeting and usage tracking alongside guardrails like PII redaction and audit logging.
Build and document reusable patterns for code generation, PRs, testing, and debugging to optimize the end-to-end developer lifecycle.
Conduct POCs and provide recommendations for AI tools based on ROI, technical merit, and stakeholder feedback.
Manage lightweight AWS infrastructure including API Gateways and LLM pipelines while integrating tools with CI/CD and GitLab.

What We Need to See

8+ years in platform engineering, DevOps, developer experience, or a closely related technical discipline.
Demonstrated hands-on experience with LLM APIs and AI developer tooling in production or organizational contexts
Experience evaluating, procuring, or governing AI/SaaS tools at an organizational level, including vendor assessment, license management, and cost governance.
Strong Python skills for automation, tooling, and lightweight AI workflow and integration development.
Practical, daily use of AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) in your own engineering workflows.
Experience designing developer workflows, internal platforms, or engineering self-service capabilities with a focus on adoption and usability.
Solid AWS experience with familiarity with Bedrock, API Gateway, or equivalent managed AI and cloud services.
Strong observability mindset with the ability to instrument AI tooling and workflows with meaningful metrics and usage signals.
Infrastructure-as-code familiarity (Terraform, Helm) and experience working within GitOps and CI/CD environments, with GitLab CI preferred.
Excellent communication and stakeholder management skills, with the ability to translate technical findings into clear recommendations for engineering leadership and business audiences.

Ways to Stand Out from the Crowd

Experience building or contributing to an internal AI enablement function, center of excellence, or developer experience program.
Hands-on experience with LLM Agents, RAG pipelines, vector databases (pgvector, OpenSearch, Pinecone, or similar), and prompt orchestration frameworks such as LangChain or LlamaIndex.
Familiarity with AI FinOps tooling, cost attribution models, and LLM API usage reporting at an organizational scale.
Experience with AI governance frameworks including acceptable use policies, audit logging, PII redaction pipelines, and responsible AI practices in regulated enterprise environments.
Background in financial services or insurance with an understanding of compliance constraints on AI tool usage and data handling.
Experience with AI-specific security threat models including OWASP Top 10 for LLMs, prompt injection risks, and model supply chain security.
Familiarity with developer productivity metrics frameworks such as DORA or SPACE, and a track record of using data to demonstrate engineering impact.
Strong ownership demeanor with a structured, automation-first approach and demonstrated impact driving AI-first engineering practices across teams.

ABOUT ISHIR

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.

We are not just consultants, we are partners in our clients' success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.

As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.

ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

Quick Apply

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