[Hiring] Lead Engineer – AI Transformation @Ocrolus
Lead Engineer – AI Transformation @Ocrolus
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1mth ago

[Hiring] Lead Engineer – AI Transformation @Ocrolus

1mth ago - Ocrolus is hiring a remote Lead Engineer – AI Transformation. 💸 Salary: unspecified 📍Location: India

Role Description

AI is at an inflection point for Ocrolus. We’re looking for a builder who can turn ambiguous internal business workflows across teams into AI-driven solutions with clear, measurable outcomes. This role sits at the intersection of applied AI, systems thinking, and business transformation, with a focus on identifying, building, and scaling AI-driven solutions across internal processes. The individual will work closely with leadership to translate business AI opportunities into practical, scalable implementations. Given the cross-functional impact, this would be a high-ownership role working closely with leadership.

Core Responsibilities

  • Identify Business Process AI Opportunities within the Organization
    • Partner with cross-functional teams and leadership.
    • Proactively evaluate existing business processes and workflows.
    • Identify areas where AI can drive efficiency, accuracy, or scale.
    • Redesign workflows using an AI-first approach (current → future state).
    • Goal is to improve:
      • Productivity
      • Efficiency
      • Cost
  • Build and Implement AI Solutions
    • Design and develop AI-powered systems and workflows end-to-end.
    • Apply automation frameworks and workflows to solve real problems.
    • Move from idea → prototype → production deployment.
  • Drive Adoption and Influence Across Teams
    • Work across functions to enable adoption of AI-driven solutions.
    • Partner with stakeholders to translate business problems into AI use cases.
    • Influence without authority to ensure successful implementation.
    • Explore, identify, evaluate, and deploy AI solutions.
    • Assess different models, tools, and workflows.
    • Make the right trade-offs across models, tools, and approaches.
  • Ensure Reliability, Quality & Governance
    • Ensure AI systems are reliable, secure, and production-ready.
    • Define standards for:
      • Output quality and evaluation
      • Hallucination control
      • Data handling and compliance

What Success Looks Like (First 6–9 Months)

  • Multiple AI-driven workflows deployed and adopted across teams.
  • Measurable improvements in productivity, efficiency, or cost.
  • Clear pipeline of AI opportunities across the organization.
  • Established foundation for scalable AI adoption.

Qualifications

  • 5–9 years in Workflow Automation across departments.
  • Proven track record of building and scaling AI systems in production.
  • Strong ability to connect AI capabilities to business outcomes.
  • Comfortable operating across strategy, execution, and stakeholder alignment.
  • Experience driving cross-functional transformation at scale.

Signals of Excellence

  • Delivered AI systems from idea → production → scale.
  • Built solutions that moved core business metrics.
  • Made clear trade-offs between accuracy, cost, and speed.
  • Able to operate in ambiguity and create structure.

Technical Capabilities

  • Must-Have (Hands-on Required)
    • Strong ability to explore, evaluate, and leverage emerging AI tools and platforms.
    • Strong proficiency in at least one programming language (Python preferred) with proven hands-on project experience.
    • Experience working with LLMs & GenAI tools (OpenAI, Claude, open-source models) in real-world use cases.
    • Solid understanding of APIs, integrations, and backend logic (build, not just use).
    • Experience in building or contributing to RAG pipelines, AI agents, or orchestration frameworks.
    • Hands-on exposure to automation workflows (e.g., n8n or similar tools).
    • Working knowledge of NLP / document processing systems.
  • Good to Have (Depth Enhancers)
    • Experience with cloud platforms (AWS / GCP) for deploying AI solutions.
    • Understanding of MLOps / LLMOps concepts (deployment, monitoring, versioning).

What This Role Is

  • A hands-on builder with strong AI depth.
  • A systems thinker who can design scalable solutions.
  • A cross-functional operator who drives real impact.
  • This is a builder + operator + influencer role.

What This Role Is Not

  • Not a research-focused role.
  • Not limited to model development.
  • Not confined to a single team or function.

Why This Role Matters

  • Opportunity to build AI capabilities from the ground up.
  • Direct impact on how the organization scales and operates.
  • High visibility and partnership with leadership.
  • Ability to drive meaningful, measurable business outcomes.

Why Join Ocrolus Now

  • High visibility with leadership and measurable business outcomes.
  • Chance to build something foundational and long-term.

Life at Ocrolus

We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.

Our culture is grounded in four core values:

  • Empathy – Understand and serve with compassion.
  • Curiosity – Explore new ideas and question the status quo.
  • Humility – Listen, be grounded, and remain open-minded.
  • Ownership – Love what you do, work hard, and deliver excellence.

We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.

We look forward to building the future of lending together.

Before You Apply
remote Be aware of the location restriction for this remote position: India
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Lead Engineer – AI Transformation @Ocrolus
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1mth ago
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