Senior Software Engineer, AI Enablement

Experience: 47 Years

Location: Provation India Development Centre (IDC) Bangalore

Role Type: Fulltime Engineering

Travel: Up to 2530%

Role Overview

The Senior Software Engineer AI Enablement plays a handson technical role in designing developing and scaling AIpowered automation solutions across internal business units. The role focuses on embedding AI into real operational workflows to drive measurable improvements in productivity quality and efficiency.

You will partner with Principal Software Engineer crossfunctional teams build rapid AI prototypes deploy productionready solutions and create reusable assets that accelerate adoption across global teams. Once solutions mature you will transition ownership and move to the next high-impact opportunity.

This role is ideal for engineers with strong technical depth business problemsolving ability and a passion for driving enterprise-wide AI enablement.

Key Responsibilities

1. AI Solution Design & Implementation

Own endtoend delivery of AIpowered automation projectsfrom discovery to deployment across various functional teams in Provation.

Translate ambiguous business problems into concrete AI/ML opportunities.

Build prototypes minimum viable solutions (MVS) and demonstrable ROI models.

Implement solutions using LLMs agent frameworks workflow automation REST APIs and cloud services.

Collaborate with cross functional teams to scale or productionize successful pilots.

2. CrossFunctional Collaboration

Work directly with business stakeholders SMEs and process owners to identify highvalue AI opportunities.

Coordinate with global engineering data and automation teams including offshore centers.

3. Enablement & Knowledge Transfer

Create reusable templates documentation code modules and training resources.

Build playbooks and standardized modules that accelerate repeatable rollout across business units.

4. Scaling AI Across Enterprise

Establish a repeatable build enable transition replicate model for global AI adoption.

Drive alignment with responsible AI data governance and enterprise engineering standards.

Influence internal tooling AI platform strategy and longterm architectural decisions.

Required Qualifications

Education & Experience

Bachelors or Masters degree in Computer Science Data Science Engineering or related field.

47 years of handson experience in software engineering systems engineering or automation development across diverse domains.

Technical Skills

Experience implementing AI/ML or automation solutions using Python cloud platforms (AWS/Azure/GCP) REST APIs microservices GenAI APIs (OpenAI/Azure OpenAI/Bedrock) and workflow/orchestration tools.

Familiarity with SDLC DevOps security and compliance in enterprise environments.

Core Capabilities

Strong communication and stakeholder engagement skills.

Proven expertise in using Copliot CLI Claude code to build applications

Ability to translate business needs into technical solutions.

Proven ownership of end-to-end AI project lifecycle.

Strong analytical and problemdecomposition skills.

Experience working with globally distributed/offshore teams.

Ability to quickly learn enterprise tools and frameworks.

Preferred Skills

Experience with intelligent automation for document processing ticket triage or reporting.

Prompt engineering and LLM orchestration knowledge.

Understanding of MLOps (nicetohave).

Experience in federated or shared-services environments.

Fortive 9 Behaviors by Level:

Influencing & Mentoring

Customer Obsessed:Champions acustomer-focusedculture byanticipatingevolving needs and shaping solutions that deliver long-term value.

Strategic:Drives organizational impact by usingdatato derive insights that inform near-term and mid-range goals

Innovation for Impact:Influences innovation throughdemonstratingbold thinking and experimentation in own work and coaching others to do the same.

Inspiring:Demonstratespurpose-driven impact throughexpertiseand collaboration.

Builds Extraordinary Teams:Drives impact through collaboration and influence by fostering trust sharingexpertise and aligning efforts across teams.

Courageous:Influences and leads by example throughactionand integritymoves quickly toward goals tackles challenges head-on and encourages open sharing of ideas without fear.

Delivers Results:Leads complex initiatives to successful completion withhigh standards precision and urgency.

Adaptable:Appliesrigorand stays true to process while fostering adaptability within the team.

Lead with FBS:Embraces FBSand models lean principles by mentoring peers and influencingteams andgoing toGembafor first-hand insights.