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Generative Ai Project Manager Jobs in Indiana (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Indianapolis, IN · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... As an Associate, you will focus on learning and contributing to projects while developing your ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Designing, building, and deploying AI-driven solutions, including ML models, generative AI ... MLflow and model lifecycle management * OpenAI and/or Hugging Face ecosystems * SQL and database ...

Elevate Ventures

Software Developer

Indianapolis, IN · On-site

$80 - $100/hr

Create solutions that utilize LLMs and generative AI apps to solve real-world challenges ... Maintain comprehensive project documentation and share knowledge with the team. Promote best ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

MarLabs

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$140 - $190/hr

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

CSAA

Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services. * Establish operational standards, support models, service-level objectives (SLOs ...

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Generative Ai Project Manager information

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

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Generative Ai Project Manager jobs near you

Director of AI & Tooling -- Generative AI Leader (Indianapolis)

salesforce.com, inc.

Indianapolis, IN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies

Job description

Salesforce is seeking a Director of Help Agent AI & Tooling to lead the generative AI capabilities, evaluation tooling, observability, and program initiatives for the Help Agent deployment. This leader sits at the intersection of AI product strategy, data-driven evaluation, and production excellence to ensure reliability and measurable business value.

The role oversees a five-area team including Generative AI Strategy, Evaluations Tooling, Observability, NNAOV program management, and AI Skill

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