Design and deploy scalable, cloud-native AI solutions by modernizing legacy apps, architecting Java/Spring Boot AI modules, building Databricks data pipelines, implementing CI/CD for model deployment, validating AI models, and guiding cross-functional teams on governance and agentic AI frameworks.
Job Summary
AI Solution Architect
Location- Cincinnati OH
Salary- $150K/Y
Key Responsibilities
Required Skills & Experience
Preferred Qualifications
The pay range for this role is $140,000 - $150,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] .
AI Solution Architect
Location- Cincinnati OH
Salary- $150K/Y
Key Responsibilities
- Brownfield Development: Modernize legacy applications by embedding AI/ML capabilities while maintaining backward compatibility.
- Cloud Architecture: Design and deploy scalable AI solutions leveraging Azure Cognitive Services, GCP Vertex AI, and containerized microservices.
- Java Tech Stack: Architect AI modules within Java/Spring Boot applications, ensuring performance and maintainability.
- Data Engineering: Build and optimize data pipelines using Databricks for AI workloads, integrating structured and unstructured data sources.
- CI/CD Automation: Implement robust CI/CD pipelines using GitHub Actions and Harness to streamline AI model deployment and application releases.
- Testing & Validation: Establish automated testing frameworks for AI models, ensuring fairness, robustness, and compliance.
- Cross-Team Collaboration: Partner with sprint teams to align AI architecture with product roadmaps and delivery timelines.
- Governance & Compliance: Ensure adherence to ethical AI standards, data privacy regulations, and enterprise governance frameworks
- Experience with driving teams through AI/Agentic AI implementation across SDLC phases and AI-first coding.
- Experience with Agentic AI frameworks like LangChain/LangGraph, MS Agent Framework, CrewAI for custom agent development along with MCP.
- Proven experience working with business partners & product teams to ideate, conceptualize & scale AI solutions.
- Exposure tools like Claude Code, GHCP, MS Fabric, Anthropic, Gemini, and OpenAI LLM models.
Required Skills & Experience
- Proven expertise in AI/ML architecture and cloud-native design.
- Hands-on experience with Azure AI services and Google Cloud AI/ML APIs.
- Strong proficiency in Java, Spring Boot, and microservices.
- Advanced knowledge of Databricks for data engineering and analytics.
- Experience with CI/CD pipelines using GitHub Actions and Harness.
- Familiarity with DevOps practices, container orchestration (Kubernetes), and automated testing.
- Understanding of AI governance frameworks and responsible AI practices.
Preferred Qualifications
- Experience in multi-cloud deployments (Azure + GCP).
- Exposure to MLOps frameworks (Kubeflow, MLflow).
- Strong background in data engineering pipelines for AI workloads.
- Ability to mentor sprint teams in adopting AI-first practices.
The pay range for this role is $140,000 - $150,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] .
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
