GenAI Solutions Engineer for Commercial Real Estate

Tata Consultancy Services

Miami (FL)

On-site

USD 130,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage (Health
Dental & Vision

Job summary

Tata Consultancy Services is seeking a senior AI/ML solutions architect to collaborate with business leaders, translate requirements into scalable AI and analytics solutions, and drive adoption across Commercial Real Estate and Loan Servicing. The role focuses on building AI-enabled processes, data pipelines, and dashboards to deliver measurable business impact.

Ideal candidates have 5+ years in software/data/AI roles, strong stakeholder communication, and hands-on experience with GenAI, ML, and

Qualifications

  • Must have 5+ years in software/data/AI roles.
  • Experience translating business needs into technical solutions.
  • Proven track record delivering AI-enabled transformations.

Responsibilities

  • Partner with Rialto business leaders to understand workflows and objectives.
  • Translate complex requirements into scalable AI, automation, and analytics solutions.
  • Act as trusted advisor for AI adoption in CRE and Loan Servicing.
  • Conduct discovery workshops and identify high-value AI use cases.

Skills

5+ years experience in software/data/A
Stakeholder collaboration
AI-enabled transformation

Education

Bachelor of Computer Science

Tools

Python
SQL
APIs & Microservices
Cloud Platforms (Azure/AWS/GCP)
ML fundamentals
Generative AI & LLMs
RAG
Vector Databases
LangChain / LlamaIndex / Semantic Kernel
Git / CI/CD / DevOps

Job description

Tata Consultancy Services is seeking a senior AI/ML solutions architect to collaborate with business leaders, translate requirements into scalable AI and analytics solutions, and drive adoption across Commercial Real Estate and Loan Servicing. The role focuses on building AI-enabled processes, data pipelines, and dashboards to deliver measurable business impact.

Ideal candidates have 5+ years in software/data/AI roles, strong stakeholder communication, and hands-on experience with GenAI, ML, and

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