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Generative Ai Architect Jobs in Indiana (NOW HIRING)

Establish secure, scalable, and responsible AI architecture standards, within a CMMC certified ... Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and ...

AI Engineer

Indianapolis, IN · On-site

$100 - $130/hr

Establish secure, scalable, and responsible AI architecture standards, within a CMMC certified ... Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and ...

New

Solution Architect

Pinhook, IN · On-site

$110 - $150/hr

As a Solution Architect, you will be the primary architectural authority for our Company Tower ... You will help advise on the design of scalable AI & Automation patterns for integrating Generative ...

Showing results 21-40

Generative Ai Architect information

See Indiana salary details

$44.2K

$122.5K

$191.7K

How much do generative ai architect jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai architect in Indiana is $122,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $158,000.00 per year, depending on experience, location, and employer.

What are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

What is the difference between Generative Ai Architect vs Data Scientist?

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.

What are popular job titles related to Generative Ai Architect jobs in Indiana?

For Generative Ai Architect jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Generative Ai Architect jobs in Indiana look for?

The top searched job categories for Generative Ai Architect jobs in Indiana are:

Infographic showing various Generative Ai Architect job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $122,519 per year, or $58.9 per hour.

Director, AI & Tooling

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 245 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Operations

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Role

The Director of Help Agent AI & Tooling leads the team accountable for the generative AI capabilities, evaluation tooling, observability, and emerging program initiatives that power Salesforce's Help Agent - a customer-facing Agentforce deployment and one of Salesforce's flagship Customer Zero implementations. This leader sits at the intersection of AI product strategy, data-driven evaluation, and production excellence, and plays a critical role in ensuring the Help Agent performs reliably, improves continuously, and delivers measurable business value.

Team Functions

This leader directly manages a team covering five core areas:

Generative AI Strategy

Drive the strategic roadmap for generative AI capabilities within the Help Agent - including retrieval architecture (e.g., Ensemble Retriever), LLM configurations, prompt and planner optimization, and agentic readiness scoring. Partner closely with Tech & Product, and other technology teams to influence the Help Agent roadmap and direct engineering relationships.

Evaluations Tooling

Own the end-to-end evaluations tooling strategy for Help Agent performance - including the Testing Center, Agentforce Testing Agents (ATA), and custom evaluation frameworks. Define and track answer quality metrics including completeness, correctness, relevance, faithfulness, clarity, and latency. Manage tooling gaps, coordinate with Tech & Product on product priorities, and expand evaluation capabilities toward greater scale and automation.

Help Agent Observability

Lead the observability program for the Help Agent - encompassing real-time performance monitoring, session tracing, error analysis, failure clustering, and business impact measurement. Serve as the primary stakeholder and voice of the Customer Zero on the Tech & Product Observability product roadmap. Coordinate with Technology Teams to converge on a comprehensive, always-on observability solution that replaces fragmented tooling.

NNAOV Program Management

Oversee the Net New Annual Order Value (NNAOV) program, driving pipeline generation through the Help Agent. Partner with the dedicated NNAOV Program Manager to define program goals, manage intake, and report on business outcomes.

AI Skill & Application Development

Support the creation and delivery of AI Skills via applications like Slackbot, Claude Code and others to support the team's ability to deliver evaluations, insights, and opportunity sourcing for Roadmap development.

Key Responsibilities
  • Serve as the AI & Tooling team lead within Digital Success Data & AI, setting team mission, operating model, and priorities
  • Act as a Customer Zero steward - representing Salesforce's own use of Agentforce as a reference customer, surfacing product gaps and driving roadmap influence through Shiproom intakes and direct T&P partnerships
  • Monitor and manage Help Agent production health, including end-to-end latency, engagement rate, escalation rate, resolution rate, and quality scores - escalating issues and coordinating cross-functional remediation as needed
  • Lead cross-functional collaboration with Technology Teams to align on evaluations, retrieval strategies, and tooling development
  • Define and mature the AI Evaluations Framework, moving from manual, spreadsheet-based processes toward scalable, automated evaluation at production scale
  • Drive the observability roadmap in partnership with Technology Teams, from current OOTB capabilities to a fully centralized, production-grade monitoring platform
  • Represent AI & Tooling in leadership forums and communicate progress, risks, and strategic direction clearly to senior stakeholders
Expected Outcomes
  • Help Agent resolution rate and quality scores (completeness, correctness, relevance) improve quarter-over-quarter through disciplined evaluation and rapid iteration

  • End-to-end latency - Deliver high quality answers as fast as possible for the application.

  • A centralized, production-grade observability platform is fully adopted by the team as the single source of truth for agent performance

  • The Testing Center is fully onboarded in production, with evaluation coverage scaled well beyond current manual limits

  • The NNAOV Program generates measurable pipeline contribution from Help Agent interactions

  • Tooling is standardized and integrated across the Data & AI team, eliminating fragmented, ad hoc approaches

  • AI & Tooling functions as a center of excellence for generative AI evaluation and tooling practices across Digital Success and the broader Salesforce Customer Zero ecosystem

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $164,000 - $261,500 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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