Accenture
Google Cloud GenAI Developer
Accenture, San Francisco, California, United States, 94199
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements, along with the way we collaborate, operate, and deliver value, provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development, and/or delivery of a solution, service, capability, or offering. They grow into delivery-focused roles and can progress within their current role, laterally, or upward.
As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. There will never be a typical day, and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative, taking on today’s biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Generative AI Developer
is responsible for designing, implementing, and managing cutting-edge Generative AI solutions on the Google Cloud Platform (GCP). This individual will be a technical leader, collaborating with various teams to understand client needs and translate them into robust Generative AI solutions. The ideal candidate possesses a deep understanding of Generative AI models, MLOps principles, and GCP's AI/ML services. We are looking for candidates who have a broad set of technology skills and who can demonstrate an ability to design the right solutions with appropriate combinations of GCP and third-party technologies for deploying on the GCP cloud. Key responsibilities may include: Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Experience developing and maintaining ML systems built with open-source tools. Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness. Fluency in Python. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Develop and optimize search models, pipelines, and workflows for efficient data retrieval and relevance ranking. Utilize Google Vertex AI AutoML capabilities to build custom search models for specific use cases. Integrate VertexAI search functionalities into existing applications and systems, ensuring seamless user experiences. Collaborate with data engineers, software developers, and business stakeholders to understand search requirements and deliver solutions accordingly. Implement best practices for data indexing, query optimization, and performance tuning within the Google Vertex AI framework. Monitor, analyze, and optimize data platform performance to ensure optimal efficiency and cost-effectiveness. Stay updated on the latest GCP data technologies, evaluating and recommending their adoption within the organization. Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand requirements and deliver optimal solutions. Develop clear and comprehensive documentation, including architectural diagrams, design specifications, and operational guidelines. Travel may be required for this role, ranging from 25% to 100% depending on business need and client requirements. Basic Qualifications: Minimum 3 years of experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc. Minimum 3 years of experience training and fine-tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators. Minimum 2 years experience with distributed training and optimizing performance versus costs. Minimum 2 years of experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform). Minimum 2 years experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches. Minimum 3 years of experience working with RAG technologies and LLM frameworks, LLM model registries (VertexAI Model Garden, Hugging Face), LLM APIs, embedding models, and vector databases. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have a minimum 6 years work experience) Preferred Qualifications: Experience participating in projects focusing on Predictive Analytics, Data Design, Generative AI, Machine Learning, ML Ops. Experience with Generative AI Studio for prototyping and experimenting with generative AI models. Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. Experience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models. Proven track record in designing and implementing cloud-based data architectures. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, capable of collaborating effectively with various teams. GCP Machine Learning Engineer or equivalent certifications are highly desirable. Compensation at Accenture varies depending on a wide array of factors, including specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles in California, Colorado, District of Columbia, Maryland, New York, or Washington as set forth below. We accept applications on an ongoing basis and there is no fixed deadline to apply. Information on benefits is
here . Role Location Annual Salary Range: California: $63,200 to $169,800 Colorado: $63,200 to $146,700 District of Columbia: $67,300 to $156,200 New York: $58,500 to $169,800 Maryland: $58,500 to $135,800 Washington: $67,300 to $156,200 What We Believe: We have an unwavering commitment to diversity, ensuring every one of our people has a full sense of belonging within our organization. Every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, helping us better serve our clients and communities. Read more
here . Equal Employment Opportunity Statement: Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. 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. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement
here . 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. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll-free at 1 (877) 889-9009, send us an email
here , or speak with your recruiter. 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 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. The Company will not discharge or discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
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is responsible for designing, implementing, and managing cutting-edge Generative AI solutions on the Google Cloud Platform (GCP). This individual will be a technical leader, collaborating with various teams to understand client needs and translate them into robust Generative AI solutions. The ideal candidate possesses a deep understanding of Generative AI models, MLOps principles, and GCP's AI/ML services. We are looking for candidates who have a broad set of technology skills and who can demonstrate an ability to design the right solutions with appropriate combinations of GCP and third-party technologies for deploying on the GCP cloud. Key responsibilities may include: Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Experience developing and maintaining ML systems built with open-source tools. Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness. Fluency in Python. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Develop and optimize search models, pipelines, and workflows for efficient data retrieval and relevance ranking. Utilize Google Vertex AI AutoML capabilities to build custom search models for specific use cases. Integrate VertexAI search functionalities into existing applications and systems, ensuring seamless user experiences. Collaborate with data engineers, software developers, and business stakeholders to understand search requirements and deliver solutions accordingly. Implement best practices for data indexing, query optimization, and performance tuning within the Google Vertex AI framework. Monitor, analyze, and optimize data platform performance to ensure optimal efficiency and cost-effectiveness. Stay updated on the latest GCP data technologies, evaluating and recommending their adoption within the organization. Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand requirements and deliver optimal solutions. Develop clear and comprehensive documentation, including architectural diagrams, design specifications, and operational guidelines. Travel may be required for this role, ranging from 25% to 100% depending on business need and client requirements. Basic Qualifications: Minimum 3 years of experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc. Minimum 3 years of experience training and fine-tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators. Minimum 2 years experience with distributed training and optimizing performance versus costs. Minimum 2 years of experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform). Minimum 2 years experience in systems design with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches. Minimum 3 years of experience working with RAG technologies and LLM frameworks, LLM model registries (VertexAI Model Garden, Hugging Face), LLM APIs, embedding models, and vector databases. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have a minimum 6 years work experience) Preferred Qualifications: Experience participating in projects focusing on Predictive Analytics, Data Design, Generative AI, Machine Learning, ML Ops. Experience with Generative AI Studio for prototyping and experimenting with generative AI models. Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. Experience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models. Proven track record in designing and implementing cloud-based data architectures. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, capable of collaborating effectively with various teams. GCP Machine Learning Engineer or equivalent certifications are highly desirable. Compensation at Accenture varies depending on a wide array of factors, including specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles in California, Colorado, District of Columbia, Maryland, New York, or Washington as set forth below. We accept applications on an ongoing basis and there is no fixed deadline to apply. Information on benefits is
here . Role Location Annual Salary Range: California: $63,200 to $169,800 Colorado: $63,200 to $146,700 District of Columbia: $67,300 to $156,200 New York: $58,500 to $169,800 Maryland: $58,500 to $135,800 Washington: $67,300 to $156,200 What We Believe: We have an unwavering commitment to diversity, ensuring every one of our people has a full sense of belonging within our organization. Every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, helping us better serve our clients and communities. Read more
here . Equal Employment Opportunity Statement: Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. 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. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement
here . 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. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll-free at 1 (877) 889-9009, send us an email
here , or speak with your recruiter. 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 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. The Company will not discharge or discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
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