The Forward Engineer is a pivotal role responsible for reimagining critical TR business functions by strategically applying AI capabilities. This role will work closely with senior functional leaders and will lead squads of SMEs and engineers to facilitate end-to-end optimization of the business processes and create the future AI enabled operating model for this function. This will require thinking beyond process automation and look at end-to-end transformation.
About the Role
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Process Analysis & Opportunity Identification: Conduct in-depth analysis of existing business processes to identify pain points, inefficiencies, and strategic opportunities for leveraging AI/ML.
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AI Solution Design: Design innovative, AI-driven solutions that directly address identified business challenges and define new AI-driven business processes.
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Rapid Prototyping & Development: Lead the rapid development of proof-of-concepts (POCs) and minimum viable products (MVPs) using programming languages and AI frameworks to quickly validate and demonstrate AI solutions.
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Implement Scaled Solutions with ROI: Based on successful POCs, design approaches to implement the solution at scale with suitable ROI.
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Technical Implementation & Integration: Oversee the implementation and integration of AI solutions, ensuring sound data architecture, leveraging cloud platforms (AWS, Azure, GCP AI services), and designing effective API integrations with existing enterprise systems.
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Change Management & Stakeholder Engagement: Drive the successful adoption and embedding of new AI-powered processes and solutions within the function. Effectively manage stakeholders through executive communication and influence, guiding organizational change and transformation initiatives.
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Problem Solving & Innovation: Continuously identify complex, ambiguous business problems and apply analytical thinking to develop creative, AI-centric solutions. Challenge existing norms and proactively reimagine existing solutions.
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Cross-Functional Collaboration & Leadership: Work collaboratively within small, agile teams (3-4 members) and adapting quickly to new challenges and business contexts.
About You
You are a strong candidate for this role if you have:
Technical Skills:
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AI/ML: Deep understanding of machine learning, natural language processing, RAG implementations, multi-agent systems
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Programming: Python, R, SQL, and familiarity with AI frameworks (TensorFlow, PyTorch, Scikit-learn)
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Rapid Prototyping: Ability to build POCs and MVPs quickly
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Data Architecture: Proficiency with data lakes, warehouses, ETL processes, and data governance
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Cloud Platforms: Proficiency in AWS, Azure, or GCP AI services
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API Integration: Understanding of system integrations and API architectures
Business & Consulting Skills:
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Management Consulting: Strategy development, process optimization, and business case creation
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Financial Modeling: ROI analysis, cost-benefit analysis, and business value quantification
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Change Management: Leading organizational change and transformation initiatives
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Stakeholder Management: Executive communication and influence management
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Process Mapping: Business process analysis and redesign
Soft Skills:
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Problem Solving: Analytical thinking and creative solution development
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Communication: Executive storytelling and technical concept simplification
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Leadership: Team building and cross-functional collaboration
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Innovation: Identifying breakthrough opportunities and challenging status quo
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Adaptability: Thriving in ambiguous and rapidly changing environments
