Senior Implementation Engineer

Ovii's Interpretation of the Role

The Senior Implementation Engineer leads end‑to‑end deployment of AI‑driven analytics for industrial customers. You will coordinate technical and project teams, manage timelines, and ensure models are validated and delivered with measurable value.

Role Snapshot

• Lead customer implementation projects
• Own timelines, scope, and risk management
• Coordinate global and offshore teams
• Validate and quality‑assure deployed models
• Gather requirements and map tags from P&IDs/PFDs

Must-Have Requirements

• Industrial OT systems (DCS, historians, SCADA)
• Power plant operations and related analytics
• Analytics model deployment (ML or rule‑based)
• Model validation and quality assurance
• Tag mapping from P&IDs and PFDs
• Stakeholder communication and management
• Structured process documentation
• Experience coordinating global/offshore teams
• implementation of AI analytics solutions
• industrial process and power‑plant environments
• Bachelor's degree in Computer Science/Engineering, Mechanical, Chemical, Instrumentation, or Industrial Engineering

Nice-to-Have Signals

• Background in industrial, manufacturing, or process optimization environments
• Familiarity with project management tools (ClickUp, Monday.com, Asana, Smartsheet)
• industrial manufacturing or process optimization background

Work Setup

• Location: Bangalore, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Lead the full lifecycle of AI model implementation for industrial clients
• Collaborate with technical consultants to define scope and gather requirements
• Map instrumentation tags using P&IDs and PFDs and configure models for customer environments
• Execute validation steps and conduct quality‑assurance testing on deployed models
• Provide feedback to product teams to improve deployment speed and user experience
• Identify and automate repetitive tasks within the model‑building workflow
• Coordinate with project managers and offshore teams to meet timelines and quality benchmarks
• Manage multiple complex projects simultaneously while maintaining detailed documentation

Good Fit If You Have

• Experience in industrial or manufacturing environments
• Comfort working in ambiguous, fast‑paced settings
• Strong organizational and stakeholder‑management abilities