Jobs in the United States

25+ jobs

Added just now
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Founding Full-Stack Software Engineer Who Has Applied for US Green Card / Visa
OpenGreenCard
San Francisco, CA
- $80,000 to $140,000 USD / year
An image-to-text LLM/AI model integration that imports data for forms from existing documents.
Added 1 min ago
Full-Stack Mobile Software Engineer
Spirit AI
Alexandria, VA · Arlington, VA · Fairfax, VA · Tysons, VA · Washington, DC
…mobile app (iOS & Android), integrating real-time 3D avatars, LLM-driven interactions, and cloud-backed…
Added 1 min ago
CV
AI Software Engineer
Cosmic Ventures
Remote, United States
- $30 to $50 USD / hour
AI Power User: You are an expert in Cursor, Claude Code, and other LLM-assisted development workflows. You optimize them for maximum speed.
Added 2 mins ago
Founding Member of Technical Staff
Function
New York City, NY
Design and build pipelines for high-performance native code generation (C++, Rust) to support tensor operations, LLM inference, and other operations required to support popular AI models.
Added 5 mins ago
JR
Founding Engineer
JumpStars Rocket Roles
San Francisco, CA
- $130,000 to $200,000 USD / year
…contributions will be essential as we create the leading platform for LLM observability and improve how developers work with…
Added 6 mins ago
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Senior Software Engineer
llm.dev
Remote, United States
- $180,000 to $200,000 USD / year
Added 7 mins ago
Head of Forward Deployed Engineering
Newcode.ai
Chicago, IL
Hands-on experience taking LLM-based or agentic workflows into production, including retrieval, agents and tool use, structured outputs, guardrails, evaluation design, permission-aware data…
Added 7 mins ago
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Software Quality Engineer
ZipLiens
Franklin, TN
- $77,000 to $104,000 USD / year
Test our LLM-based features. This includes building the evaluation suite for a feature, setting acceptance thresholds with product (for example, precision and recall targets for…
Added 7 mins ago
Forward Deployed Engineer
Newcode.ai
Chicago, IL
At least three years in a technical, client-facing role, for example solutions engineer, implementation consultant, technical consultant, automation specialist, or developer.
Added 7 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Chicago, IL
- $140,000 to $145,000 USD / year
Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
Added 7 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Peoria, IL
- $140,000 to $145,000 USD / year
Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
Added 7 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Irving, TX
- $140,000 to $145,000 USD / year
Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
Added 7 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Broomfield, CO
- $140,000 to $145,000 USD / year
Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
Added 9 mins ago
Senior/Staff Software Engineer [Full Stack]
Prudentia Sciences
Boston, MA · New York, NY
…users to manage deal pipelines, upload documents, and interpret LLM-driven…
Added 11 mins ago
Senior Data Engineer
Leopard (NYC)
New York, NY
Spent significant time and effort over the last year experimenting with and building a LLM code generation and agentic tooling development process
Added 15 mins ago
Founding AI Engineer
Daylight Infrastructure
San Francisco, CA
We’re seeking strong GenAI/agent systems experience (LLM orchestration, retrieval, tool use) and solid backend skills (Python/TypeScript, APIs, data pipelines, security). You will translate…
Added 15 mins ago
RU
Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Experience setting standards for LLM/RAG data architecture at scale.
Added 17 mins ago
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SVP, Data Science & AI Product Enablement
Monks
United States
- $225,000 to $275,000 USD / year
Added 17 mins ago
(Web3, AI) Technical & Non-technical Talent Pool
KMS Consulting Solutions
Seattle, WA · San Francisco, CA · New York City, NY · Miami, FL · Austin, TX · Atlanta, GA
AI/ML engineering, data science, and Large Language Models (LLM) development
Added 21 mins ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
…spreadsheets, SQL-level data logic, platform APIs, and modern developer toolchains. You can debate technical trade-offs with engineers without needing to write production…
Added 22 mins ago
Founding Engineer, Agentic Systems
Champ AI
San Francisco, CA
We're looking for a Founding Engineer (Agentic Systems) to own core pieces of our agent runtime and developer/product surface area. You'll build the systems that let agents operate safely,…
Added 23 mins ago
Founding Engineer - LLM
Aida
Palo Alto, CA
We are seeking a passionate Software Engineer with a focus on Large Language Models (LLM) to join our team in Palo Alto, CA. As a Founding Engineer, you will play a pivotal role in shaping…
Added 24 mins ago
GT
ERPNext Developer
Girman Technologies Private Limited
Remote, United States
- ₹500,000 to ₹800,000 INR / year
Join us at Girman Technologies, where we deliver top-tier software solutions with a focus on Generative AI and LLM technology. We are a remote-first team, and our greatest asset is our…
Added 25 mins ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Hands-on experience building LLM-powered systems with a focus on context management, memory persistence, or personalization features
Added 25 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Implement robust integration pipelines for LLM providers (OpenAI, Anthropic, etc.) with proper error handling, retry logic, and graceful degradation

Senior Customer Experience Program Manager

Microsoft · WA, United States · GA, United States · NC, United States · TX, United States · VA, United States · CA, United States · Redmond, WA, United States · Atlanta, GA, United States · Charlotte, NC, United States · Dallas, TX, United States · Reston, VA, United States · Mountain View, CA, United States · Redmond, United States · Atlanta, United States · Charlotte, United States · Dallas, United States · Reston, United States · Mountain View, United States · $119,800 to $261,000 USD / year

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Microsoft

Senior Customer Experience Program Manager

WA, United States
GA, United States
NC, United States
TX, United States
VA, United States
CA, United States
Redmond, WA, United States
Atlanta, GA, United States
Charlotte, NC, United States
Dallas, TX, United States
Reston, VA, United States
Mountain View, CA, United States
Redmond, United States
Atlanta, United States
Charlotte, United States
Dallas, United States
Reston, United States
Mountain View, United States

$119,800 to $261,000 USD / year

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Job details

Pay: $119,800 to $261,000 USD / year
Apply by: May 2, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Overview

Are you a customer-obsessed, AI-driven program leader who thrives at the intersection of engineering, operations, and applied AI? The Azure Engineering Operations (EngOps) team is on a mission to transform Microsoft Cloud customers into lifelong advocates by delivering intelligent, scalable, and frictionless support experiences. Within EngOps, the ACES organization is leading the shift to AI-first support delivery - leveraging agentic AI, LLM-powered systems, and real-time operational intelligence to reduce customer friction, improve reliability, and drive down support volume at Azure scale. We are seeking a Senior Customer Engineering Program Manager – AI Operations to define and operationalize the next generation of AI-powered support systems for Azure Engineering Direct (AED). In this role, you will combine program leadership, data-driven decision making, and applied AI strategy to build intelligent support experiences that proactively resolve issues, empower engineers, and transform customer outcomes. In this role, you will transition AED from reactive support to predictive, AI-driven operations by scaling agentic AI systems that autonomously diagnose, recommend, and resolve issues. This transformation will drive measurable improvements in case volume reduction, MTTR, and customer satisfaction, while establishing AI Ops as a core pillar of support delivery excellence.

Responsibilities

Define and execute the AI Operations strategy for AED, aligning to business goals such as case deflection, resolution time reduction, and support scalability
Translate customer pain points and operational gaps into AI-powered solutions including agent workflows, copilots, and automation systems
Partner with engineering teams to bring agentic AI services (LLMs, RAG, multi-agent orchestration) from concept to production
Drive adoption of AI agents and copilots across ACE workflows (triage, diagnostics, mitigation, knowledge retrieval)
Define requirements for multi-agent systems, tool integrations, and workflow orchestration to enable autonomous issue resolution
Ensure solutions are grounded in real-time Azure signals, telemetry, and knowledge systems
Own the end-to-end lifecycle of AI-powered operational capabilities: design, experimentation, deployment, monitoring, and continuous improvement
Establish evaluation frameworks (success metrics, golden datasets, feedback loops) to measure AI effectiveness, quality, and safety
Embed Responsible AI practices ensuring systems are safe, compliant, and aligned to Microsoft standards
Evolve traditional delivery excellence frameworks into AI-augmented operational models
Standardize and scale AI-enabled support processes, tooling, and playbooks across AED
Continuously improve operational efficiency through automation, intelligence, and insights
Define and track AI Ops KPIs such as Case deflection and avoidance, Mean time to resolution (MTTR) and Customer experience metrics
Partner with data and engineering teams to build observability systems (metrics, logging, tracing) to monitor AI and operational performance
Lead cross-org initiatives spanning engineering, product, support, and field teams
Act as the bridge between AI engineering teams and customer engineering delivery
Drive alignment on roadmaps, priorities, and success criteria across stakeholders
Engage directly with AED customers and ACEs to identify unmet needs and high-friction experiences
Incubate and scale AI-first capabilities that reduce toil and improve customer self-service
Champion a culture of experimentation and rapid iteration

Qualifications

Required qualifications

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred qualifications

Master's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
6+ years of experience in program management, product management, engineering, or technical operations
Hands-on experience with AI/ML systems, LLMs, or AI-powered products (e.g., copilots, automation tools, RAG systems)
Familiarity with agentic AI concepts such as multi-agent orchestration, prompt design, and AI workflows
Experience driving end-to-end delivery of complex, cross-functional initiatives
Strong understanding of cloud platforms (preferably Azure) and support operations
Experience using data and metrics to drive decisions and measure impact
Experience in support engineering, SRE, or ITSM environments
Knowledge of AI evaluation frameworks, telemetry, and experimentation practices
Experience working with global, distributed engineering and customer-facing teams
Strong executive communication and storytelling skills

#EngOps #EngOpsACES

Customer Experience Program Mgmt IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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