Job Description
AI ML Engineer 6321094 Logic - 3.8 Irving, TX Job Details Full-time $59,100 - $205,800 a year 15 hours ago Benefits Disability insurance Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications Machine intelligence Associate's degree Full Job Description Data Engineering Team Lead/Consultant | Mid-Level | Full time Job No. 14419855 | Irving, TX Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. As an AI/ML Engineer , you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring proper cloud or on-premises application pipelines with production-ready quality. Your work will include applying generative artificial intelligence models as part of the solution and may involve deep learning, neural networks, chatbots, and image processing. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within your immediate team and across multiple teams. Expert proficiency in Machine Learning (ML) is required. Expert proficiency in Database Architecture is recommended. Expert proficiency in Large Language Model (LLM) Fine-Tuning, along with advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and AI Agents, is suggested.
Additional responsibilities include:
Lead the design and implementation of scalable machine learning solutions that meet project requirements and quality standards. Collaborate closely with cross-functional teams to integrate artificial intelligence models into existing systems and workflows. Analyze complex data sets to identify opportunities for enhancing model performance and operational efficiency. Support and mentor colleagues by sharing expertise and promoting best practices in artificial intelligence and machine learning. Drive innovation by exploring emerging technologies and proposing improvements to current artificial intelligence applications. Basic Qualifications Minimum of 3 years of experience in AI, ML and exposure to Data Associate's Degree Preferred Qualifications:
5+ years of experience designing, developing, and deploying autonomous AI systems that leverage LLMs, tool use, multi-agent collaboration, and workflow orchestration. Strong expertise in building agentic architectures capable of dynamic planning, reasoning, and decision-making to automate complex business processes. Skilled in integrating LLM as with APIs, vector databases, retrieval systems, and real-world tools to create robust, production-ready solutions. Proven success in leading end-to-end AI initiatives—from problem framing and data strategy to model integration and evaluation. Adept at applying frameworks such as LangChain, AutoGen, CrewAI, OpenAI Assistants, and custom agentic pipelines to deliver scalable AI automation. Known for bridging technical implementation with business impact by designing intelligent agents that significantly improve operational efficiency, reduce manual effort, and enhance user experience. 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 07/11/2026. Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here: Accenture Flex Jobs Role Location Annual Salary Range California $70,350 to $205,800 Cleveland $59,100 to $164,600 Colorado $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Virginia $59,100 to $189,300 Washington $80,200 to $189,300 Irving, TX 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. 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