Snowflake Advanced AI Engineer,

Archer; San Francisco (CA); On-site; USD 70,000 - 206,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Archer, in collaboration with Accenture, seeks a Snowflake Advanced AI Engineer to design and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud and third-party AI services, delivering production-ready outcomes across the full solution lifecycle.

You will train and deploy models, build scalable data pipelines, and ensure quality, value, and reliability of deployed systems, with travel 0-100% as needed.

Qualifications

• Minimum 2 years hands-on Snowflake Cortex AI experience.
• Minimum 3 years in ML engineering or science deploying models at scale.
• Experience with distributed computing, big data, and cloud environments.
• BS or higher in a related field or equivalent work history.

Responsibilities

• Formulate AI/ML problems into scalable solutions.
• Develop ML algorithms and data pipelines for training and production with MLOps.
• Customize Deep Learning and Gen AI models for business use cases.
• Research and develop new AI and HPC algorithms for client projects.
• Collaborate with cross-functional teams to achieve end-to-end goals.

Skills

Snowflake Cortex AI

Gen AI

LLM APIs

Python

DevOps

MLOps

Cloud services

Strong communication

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Snowflake Cortex AI

TensorFlow

PyTorch

LLMs APIs

Cloud platforms

Job description

Archer is collaborating with Accenture to connect them with exceptional professionals for this role.

We Are

In the last 30 years, no technology has promised to change everything across a business- until generative AI. Today, AI is the number one driver of business reinvention. And data readiness is one of the most important factors for AI success. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 77,000 professionals dedicated to Data & AI, Accenture's Data & AI organization is powered by experienced innovation, strategic investment, exceptional talent, and our power ecosystem. There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to create a rewarding career at Accenture Technology. Working in a digitally driven, innovation-led environment where you can help clients shift to the New using leading-edge technologies on some of the coolest projects you can imagine.

Join our Global Agentic Center of Excellence and help lead that change.

You Are

As a Snowflake Advanced AI Engineer, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

The Work

• Formulate real‑world problems into practical, efficient, and scalable AI and Machine Learning solutions
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
• Engage in research and development of new AI and high‑performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large‑scale datasets and utilize data preprocessing techniques to ensure high‑quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end‑to‑end project goals and integrate into production

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s What You Need

• Minimum of 2 years of hands‑on experience across Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search
• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high‑performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• Minimum of 1 year of experience in building and deploying AI/ML based software to a cloud environment.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Professional Skills Requirements

• Strong written & verbal communication skills and ability to communicate complex technical concepts to non‑technical stakeholders
• Strong client‑facing skillsets in a consulting environment
• Strong cross‑functional skills with the ability to collaborate with a variety of internal and client‑side teams
• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

Bonus Points if you have

• Proficiency in Python and python‑based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
• Experience with the following programming languages: Python, C++, Java, R, SQL
• MS or PhD in related field preferred (computer science, engineering, etc.)

Benefits

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

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

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 degrees, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 degrees we create for our clients, each other, our shareholders, partners and communities.

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, 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 more creative, which helps us better serve our clients and our communities.

Read more here

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