Tech Jobs for Talents without Borders
English-1st. Relocation-friendly. Curated daily by Imagine.
4,507 Jobs at 189 Companies

Gen AI Solution Architect/Delivery Lead

Capgemini

Capgemini

Software Engineering, IT, Data Science
United States
Posted on Saturday, June 22, 2024

Job Title: Databricks Generative AI Solution Architect / Delivery Lead

Job Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)

Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges. You will lead the design and implementation of advanced AI solutions.

Key Responsibilities:

  • Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-end tech stack assessment, architecture design for AI solutions (including system components, data pipelines, and deployment strategies), and integration of AI solution components into broader IT systems and corresponding architecture.
  • Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability.
  • ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
  • Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of AI solutions.
  • Architect Expertise: Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
  • Model Selection: Evaluate and select appropriate AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements.
  • Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of AI technologies. Ensure compliance with regulatory requirements and industry and company standards.
  • Trusted Technical Advisor: Customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring
  • Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.

Required Skills:

  • 10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
  • Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments.
  • Understanding of AI and GenAI domains, GenAI embeddings, and multimodal models.
  • In depth knowledge of the theoretical aspects.
  • Experience with RAG, vector stores, and semantic search.
  • Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
  • Proven experience in architecting and designing complex AI/ML systems.
  • Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similar. Experience with deep learning architectures and techniques.
  • Familiarity with software architecture principles, design patterns, and system integration. Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent problem-solving skills and analytical thinking. Ability to analyze complex problems, propose innovative solutions, and evaluate trade-offs.
  • Strong communication and leadership skills. Ability to effectively communicate technical concepts to clients and non-technical stakeholders and lead cross-functional teams.
  • Highly Preferred: 5+ years professional experience as and Data and AI thought leader in a large technology consulting firm.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.



Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert salary range]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.