The Role
Build and operationalize production-grade AI, ML, and agentic solutions across GCP and Vertex AI. Develop integrations, connectors, APIs, ML pipelines, environments, and quality assurance processes. Manage MLOps tools, deployment and change control, cloud security compliance, and cloud costs. Support traditional ML pipelines, orchestration frameworks, and communication protocols such as MCP while mentoring team members and establishing engineering best practices.
Summary Generated by Built In
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
As Senior AI Engineer, you are a critical member of the AI and Automation group focused on leading efforts in migrating Agentic AI based solutions from concept to production-level operational excellence. A key component of this will be operationalizing new tools, platforms and infrastructure as well as standing up production, development and QA environments. You will work towards building scalable, resilient, and automated solutions in both GCP (Google Cloud Platform) and Agentic platforms to ensure that models and agents deliver on organizational objectives. You will professionally engineer solutions taking into account notions of risk and FMEA (failure modes and effects analysis).
Key Accountabilities
As part of the team, you will be working as a Senior AI Engineer to operationalize key strategic ML models.
Research and operationalize and support new tools, frameworks, and platforms technology and processes necessary to scale AI Solutions.
Building, maintaining and troubleshooting Agentic custom connectors, custom actions and other associated integration work. Must Have
End-to-end responsibility for operationalizing ML Dev Ops tools and processes including installation, maintenance, documentation, best practices, training, and championing.
Responsible for creating and maintaining both production and lower environments (stage, QA, development).
Create and operationalize quality assurance processes for ML models.
Ownership of cloud security compliance.
Monitor and optimize cloud spend.
Experience in Communication protocols, e.g. MCP Must have
Optimize deployment and change control processes for models.
Minimum Qualifications
Bachelor s degree in a quantitative field (CS, engineering, statistics, math, data science).
At least 3 years professional experience as a software engineer, integration engineer, ML Engineer, AI Engineer or data scientist.
Strong python development skills.
Must have strong familiarity with the GCP / Vertex AI Platform
Experience integrating third party products such as SalesForce, ServiceNow, SAP, OneTrust, and Workday with GCP pipelines. Ideally building connectors and actions for Glean.
Experience building and utilizing APIs and End Points ideally within a GCP environment.
Background in at least one Agentic AI platform preferred with a specific preference for Glean.
Must have Background in Cloud Engineering in a GCP environment.
General background building, maintaining and supporting traditional ML Pipelines in a GCP environment is must have.
Strong understanding of orchestration frameworks such as Airflow.
Ability to mentor others and lead the team in technology and best practices.15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
As Senior AI Engineer, you are a critical member of the AI and Automation group focused on leading efforts in migrating Agentic AI based solutions from concept to production-level operational excellence. A key component of this will be operationalizing new tools, platforms and infrastructure as well as standing up production, development and QA environments. You will work towards building scalable, resilient, and automated solutions in both GCP (Google Cloud Platform) and Agentic platforms to ensure that models and agents deliver on organizational objectives. You will professionally engineer solutions taking into account notions of risk and FMEA (failure modes and effects analysis).
Key Accountabilities
As part of the team, you will be working as a Senior AI Engineer to operationalize key strategic ML models.
Research and operationalize and support new tools, frameworks, and platforms technology and processes necessary to scale AI Solutions.
Building, maintaining and troubleshooting Agentic custom connectors, custom actions and other associated integration work. Must Have
End-to-end responsibility for operationalizing ML Dev Ops tools and processes including installation, maintenance, documentation, best practices, training, and championing.
Responsible for creating and maintaining both production and lower environments (stage, QA, development).
Create and operationalize quality assurance processes for ML models.
Ownership of cloud security compliance.
Monitor and optimize cloud spend.
Experience in Communication protocols, e.g. MCP Must have
Optimize deployment and change control processes for models.
Minimum Qualifications
Bachelor s degree in a quantitative field (CS, engineering, statistics, math, data science).
At least 3 years professional experience as a software engineer, integration engineer, ML Engineer, AI Engineer or data scientist.
Strong python development skills.
Must have strong familiarity with the GCP / Vertex AI Platform
Experience integrating third party products such as SalesForce, ServiceNow, SAP, OneTrust, and Workday with GCP pipelines. Ideally building connectors and actions for Glean.
Experience building and utilizing APIs and End Points ideally within a GCP environment.
Background in at least one Agentic AI platform preferred with a specific preference for Glean.
Must have Background in Cloud Engineering in a GCP environment.
General background building, maintaining and supporting traditional ML Pipelines in a GCP environment is must have.
Strong understanding of orchestration frameworks such as Airflow.
Ability to mentor others and lead the team in technology and best practices.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- At least 5 years of professional experience
- 15 years of full-time education
- Bachelor's degree in computer science, engineering, statistics, mathematics, data science, or another quantitative field
- Large Language Models (LLMs) experience
- Strong Python development skills
- Strong familiarity with GCP and Vertex AI
- At least 3 years of professional experience as a software engineer, integration engineer, ML engineer, AI engineer, or data scientist
- Experience with communication protocols such as MCP
- Cloud engineering experience in a GCP environment
- Experience building, maintaining, and supporting traditional ML pipelines in GCP
- Strong understanding of orchestration frameworks such as Airflow
- Experience building and using APIs and endpoints, ideally in GCP
- Experience integrating third-party products such as Salesforce, ServiceNow, SAP, OneTrust, or Workday with GCP pipelines
- Experience with an agentic AI platform, preferably Glean
- Experience building connectors and actions for Glean
- Ability to mentor others and lead technology and best-practice initiatives
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
-
Parental & Family Support — Parental leave and family-planning perks are described as comprehensive, including paid leave for birth and non-birth parents, fertility and surrogacy assistance, adoption support, and subsidized backup care. These offerings make the package notably supportive for those prioritizing family resources.
-
Retirement Support — Retirement programs feature dollar-for-dollar 401(k) matching for eligible employees as part of a strong savings emphasis. This structure supports steady long-term wealth building beyond base pay.
-
Healthcare Strength — Health coverage includes multiple plan choices such as PPO, EPO, and HDHP options along with dental and vision. Mental-health and assistance resources add breadth to the overall care ecosystem.
Accenture Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
