AI/ML - Lead Engineer

Overview Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

The engineer will contribute across data migration assessment, application modernization strategy, AI use-case discovery, and reference architecture definition, supporting the foundation for future implementation phases on Google Cloud Platform (GCP).

Key Responsibilities

Analyze existing applications and services to assess AI-readiness and modernization opportunities.

Contribute to defining

AI-enabled application patterns , including agent-based workflows and orchestration concepts.

Develop lightweight

POCs, scripts, and prototypes

to validate AI use cases and data flows during assessment.

Support current-state analysis of data sources, pipelines, APIs, and legacy platforms.

Assist in defining migration approaches to

GCP-based data architecture .

Develop

Python- and Java-based utilities/scripts

for:

Data profiling and validation

Transformation logic testing

Migration feasibility assessment

Contribute to reconciliation, rollback, and recovery strategy definition.

Participate in use-case discovery workshops with business and IT stakeholders.

Help define

reference architecture concepts

(high-level) for modernized applications.

Evaluate technology stacks, frameworks, and DevOps tooling for AI-enabled platforms.

Support creation of the

Technology Proposal and Implementation Playbook .

Assist in building conceptual execution roadmaps (phases, milestones, dependencies).

Support definition of

security, compliance, and governance guardrails

for AI and data platforms.

Contribute to Phase 0 deliverables and client-ready documentation.

Required Qualifications

7+ years of experience as a

Full-Stack Engineer

(Java and/or Python)

Strong hands-on experience with:

Java (Spring Boot, REST APIs, microservices)

Python (scripting, data processing, automation)

Practical exposure to

AI/ML engineering

(early-stage experience acceptable), including:

Model integration

Prompt-based workflows

AI service consumption via APIs

Experience writing

Python and shell scripts

for:

Data analysis, profiling, and validation

Automation and batch processing

Integration testing and tooling

Experience with

cloud platforms

(GCP preferred; AWS/Azure acceptable)

Solid understanding of

data pipelines, APIs, and integration patterns

Experience contributing to

architecture discussions, assessments, and strategy documents

Preferred Qualifications

Exposure to

Agentic AI, AI orchestration, or multi-agent frameworks

Familiarity with:

Pandas, NumPy, PySpark, or similar data libraries

SQL and cloud-native data warehouses (BigQuery preferred)

Experience with DevOps tools (CI/CD, containers, IaC)

Knowledge of

security and compliance considerations

in regulated environments

Utility, energy, or large-enterprise modernization experience is a plus

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