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Langgraph Jobs in Portland, OR (NOW HIRING)

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems. * Experience developing evaluation datasets, graders, traces, and ...

Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent frameworks), and Model Context Protocol (MCP) integrations * Strong experience and understanding of ...

Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent frameworks), and Model Context Protocol (MCP) integrations * Strong experience and understanding of ...

Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are popular job titles related to Langgraph jobs in Portland, OR?

For Langgraph jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Portland, OR look for?

The top searched job categories for Langgraph jobs in Portland, OR are:

What cities near Portland, OR are hiring for Langgraph jobs?

Cities near Portland, OR with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Portland, OR as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Technical Commerce & AI Manager | Agentic Commerce

Accenture

Beaverton, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 491 rated business services


Job description

About Accenture Song – Customer Technology, Commerce

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology – Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.

We integrate commerce platforms, customer data, marketing technology, and AI-powered decisioning to transform how brands engage customers across channels. By embedding Generative AI and Agentic AI into commerce operations, we enable real-time personalization, autonomous merchandising, dynamic pricing, campaign orchestration, and revenue growth at scale.

WHAT'S IN IT FOR YOU?

  • Lead next-generation Agentic Commerce transformations, embedding AI-driven orchestration into digital commerce ecosystems.
  • Work at the intersection of commerce platforms, customer experience, data, and AI, delivering measurable revenue and growth outcomes.
  • Collaborate with cross-functional Song teams across Commerce, Marketing, Experience Design, and Customer Data Platforms.
  • Shape and scale differentiated AI-powered commerce accelerators and reusable frameworks.
  • Drive enterprise adoption of Agentic AI within omnichannel customer journeys and digital operating models.

What You Would Do in This Role

As an Agentic Commerce & AI Manager, you will lead the design, implementation, and scaling of Generative AI and Agentic AI solutions embedded within digital commerce and customer technology ecosystems. You will combine deep technical expertise with consulting leadership to deliver growth-focused transformation programs.

Commerce AI Architecture & Strategy

  • Define enterprise-level Agentic Commerce strategies, aligning AI orchestration with digital commerce roadmaps.
  • Architect scalable, modular, and interoperable multi-agent systems across commerce platforms.
  • Establish unified commerce data foundations across customer, product, transaction, behavioral, pricing, and operational datasets.
  • Drive integration of AI decision engines into digital commerce platforms (e.g., Adobe Commerce, SAP CX, Salesforce Commerce, Composable Commerce architectures).

Agentic AI Implementation & Orchestration

  • Design and lead development of multi-agent ecosystems that coordinate:
  • Predictive models
  • Optimization engines
  • LLM-driven reasoning
  • Decision APIs
  • Embed AI into:
  • Personalization engines
  • Campaign management platforms
  • Product recommendation systems
  • Dynamic pricing and promotions
  • Conversational commerce interfaces
  • Architect event-driven, API-first, cloud-native AI systems for real-time inference.

Governance, Trust & Enterprise Readiness

  • Define governance models for autonomous and semi-autonomous commerce AI systems.
  • Establish guardrails for:
  • Responsible AI
  • Bias monitoring
  • Drift detection
  • Explainability
  • Performance observability
  • Ensure secure deployment aligned to enterprise risk and compliance policies.

Cloud & Technology Delivery

  • Lead deployment across AWS, Azure, or GCP environments.
  • Utilize FastAPI for modular services and Databricks for scalable AI workflows.
  • Integrate vector databases, distributed knowledge systems, and state management solutions (e.g., Redis).
  • Ensure production readiness using CI/CD pipelines and Kubernetes-based deployment models.

Consulting & Commercial Leadership

  • Engage C-level and senior stakeholders to position Agentic Commerce as a growth accelerator.
  • Develop executive presentations, value cases, roadmaps, and ROI models.
  • Lead end-to-end delivery of Commerce AI programs including solution design, resource planning, governance, and risk management.
  • Mentor consultants and build hands-on capability in Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
  • Contribute to internal commerce AI accelerators and go-to-market offerings.
  • Travel: As required for client support up to 50%
  • Location: Primary residency within 90 minutes of an approved Accenture office

Who We Are Looking For

  • 8+ years of experience delivering transformation in digital commerce, customer technology, or marketing technology ecosystems. Experience should include:
  • Strong expertise in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI in production.
  • Experience embedding AI within commerce platforms, CDPs, CRM, or MarTech ecosystems.
  • Proficiency with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
  • Experience integrating AI with enterprise API gateways and composable commerce architectures.
  • Expertise in prompt engineering, multi-agent orchestration, and tool invocation standards (e.g., schema-driven function execution, MCP).
  • Practical experience with FastAPI, Databricks (AI/BI Genie, LLM-as-a-Judge, Mosaic AI Gateway), and cloud-native architectures.
  • Familiarity with reinforcement learning, adaptive decision systems, and personalization engines.
  • Proven success leading AI programs from design through enterprise deployment.
  • Experience implementing Responsible AI frameworks and performance monitoring standards.
  • Strong consulting leadership skills including stakeholder management, executive communication, and commercial solutioning.
  • Experience managing cross-functional teams across Experience, Commerce, Data, and Engineering disciplines.
  • Experience with designing of a semantic layer and knowledge graph
  • Experience with prompt engineering

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 06/23/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $94,400 to $266,300

Cleveland $87,400 to $213,000

Colorado $94,400 to $230,000

District of Columbia $100,500 to $245,000

Illinois $87,400 to $230,000

Maine $80,400 to $196,000

Maryland $94,400 to $230,000

Massachusetts $94,400 to $245,000

Minnesota $94,400 to $230,000

New York $87,400 to $266,300

New Jersey $100,500 to $266,300

Virginia $87,400 to $245,000

Washington $100,500 to $245,000

#LI-NA

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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