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Senior Technologist - Software Engineering

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Onsite

Senior Technologist - Software Engineering

Infosys

Senior Technologist - Software Engineering

Skills

Data AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


Educational Requirements

Bachelor of Engineering

Service Line Strategic Technology Group

Responsibilities

  • Key ResponsibilitiesDefine and execute the technology strategy across risk, governance, regulatory, policy, and enterprise oversight platforms.
  • Provide overall leadership and accountability for a portfolio of applications, data platforms, and analytics capabilities, ensuring reliability, scalability, and security.
  • Oversee the design, development, and operational management of modern data pipelines and data products, ensuring high standards for data quality, integrity, and security.
  • Partner with data scientists, analysts, and platform teams to identify and implement data-driven and AI-enabled solutions that address complex business and risk challenges.
  • Act as a strategic technology partner to senior executives, contributing to ideation, innovation, prioritization, and long-term strategic alignment.
  • Build and maintain multi-year business and technology roadmaps, and ensure the successful delivery of aligned initiatives.
  • Lead resource strategy, staffing, and capacity planning across delivery and support teams (FTEs and contractors) to ensure effective execution and platform stability.
  • Partner closely with enterprise architecture, infrastructure, and shared technology services to ensure solutions align with enterprise standards and long-term strategy.

Technical and Professional Requirements:

  • Serve as an experienced product or experience owner, helping shape priorities and drive value-focused delivery.
  • Manage third-party vendor engagements, including scope definition, contract terms, delivery performance, and financial management.
  • Research and evaluate emerging AI and ML technologies, identifying opportunities to improve analytical capabilities, insights, and operational outcomes.
  • Oversee the development and deployment of AI/ML models supporting monitoring, risk assessment, analytics, and reporting use cases.
  • Ensure that all platforms and solutions meet enterprise standards for governance, controls, auditability, and regulatory expectations.
  • Work effectively within a matrix organisation collaborating across core engineering teams, business leadership, and peers across geographies, balancing both leadership and service capabilities.

Preferred Skills:

  • Technology->Software Engineering->Requirement Engineering
  • Technology->AI-Generative AI->Generative AI - Basic

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