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Modal Analysis Jobs Near Me

Slalom Consulting

General Information

Columbus, OH · On-site

Delivering multi-modal learning through executive workshops, training product leaders and teams ... Defining success metrics, establishing measurements frameworks, analyzing performance data ...

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Modal Analysis information

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$15

$27

$41

How much do modal analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for modal analysis in the United States is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $29.81 per hour, depending on experience, location, and employer.
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Modal Analysis jobs near you
A map of the United States highlighting the number of Modal Analysis job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Modal Analysis job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Re-posted 24 days ago

Job description

Must-Have Skills
  • Strong AI/ML engineering and software development experience
  • Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
  • Experience building agentic AI workflows, copilots, and intelligent agents
  • Hands-on implementation of RAG systems and vector databases
  • Strong prompt engineering skills and applied analytics knowledge
  • Ability to integrate AI solutions with enterprise systems
  • Experience with middleware, orchestration layers, and API integrations
  • Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
  • Strong problem-solving, debugging, and rapid prototyping ability
  • Excellent communication and stakeholder management skills
  • Ability to thrive in fast-paced, ambiguous environments with ownership mindset

Key Responsibilities
  • Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
  • Build prototypes, POCs, and production-grade AI applications rapidly
  • Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
  • Integrate LLMs with enterprise platforms and build middleware layers
  • Create intelligent copilots, multi-modal demos, and automation workflows
  • Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
  • Implement monitoring, evaluation, and human-in-the-loop frameworks
  • Work directly with clients to gather requirements and design AI solutions
  • Lead technical discussions, discovery workshops, and solution demos
  • Act as a bridge between business stakeholders and engineering teams

Apply