AI/ML Solutions Architect (Computational Science)

Accenture PLC; City of Albany (NY); On-site; USD 66,000 - 206,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Bonuses

Job summary

Accenture is seeking an Artificial Intelligence and Machine Learning specialist to translate real-world problems into scalable AI solutions. You will develop and deploy AI/ML models, collaborate with cross-functional teams, and advance data-driven insights across diverse client projects.

The role emphasizes building conversational AI applications, leveraging cloud AI services, and delivering production-ready pipelines within a dynamic Data & AI organization.

Qualifications

• Minimum 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
• Minimum 2 years of experience in machine learning, deep learning, or NLP.
• Minimum 2 years of experience with AI/ML and cognitive services from at least one cloud service provider.
• Minimum 1 year of experience building Conversational AI applications using cloud-based AI/ML services.

Responsibilities

• Collaborate with stakeholders to engineer innovative AI solutions for new system roll-outs and maintenance of existing apps.
• Develop system specifications, create test plans, and manage projects and issues.
• Design and build AI solutions using services and models for unique use cases.
• Utilize ML and AI techniques to extract insights from complex datasets.
• Deploy trained models into production with scalability and reliability.
• Design and implement agents and multi-agent architectures to optimize client workflows.

Skills

Data Analysis

Statistics

Machine Learning

Computer Science

NLP

Cloud AI services

Conversational AI

Education

Bachelor's degree

Equivalent work experience

Tools

Cloud AI platforms

Job description

Accenture is seeking an Artificial Intelligence and Machine Learning specialist to translate real-world problems into scalable AI solutions. You will develop and deploy AI/ML models, collaborate with cross-functional teams, and advance data-driven insights across diverse client projects.

The role emphasizes building conversational AI applications, leveraging cloud AI services, and delivering production-ready pipelines within a dynamic Data & AI organization.