Presales Consultant (Application Engineering Modernization)

Job Summary

As a Presales Consultant focused on Application Engineering Modernization, you will operate at the director/principal level as a senior client-facing expert. You will lead strategic conversations, architect transformative solutions, and guide clients through application portfolio modernization infused with advanced AI particularly agentic AI capabilities to achieve agility, innovation, and measurable business impact.

Key Responsibilities

Serve as a trusted advisor to clients and sales teams, leading C-suite engagements, strategy workshops, and value realization discussions.

Design enterprise-grade architectures for application modernization, including cloud-native patterns (microservices, event-driven, serverless), container orchestration, and integration of AI features (e.g., intelligent automation, GenAI-enhanced experiences, embedded ML, and agentic AI systems).

Lead creation of executive-level POCs, demonstrations, and vision presentations illustrating modernization pathways and AI-driven differentiation, with focus on agentic workflows.

Craft strategic business cases, ROI justifications, and phased modernization roadmaps for complex application portfolios.

Drive RFI/RFP strategy and responses, ensuring technical and commercial alignment while shaping client requirements.

Deliver thought leadership on application engineering trends, cloud-native development, DevSecOps, and AI integration

Ensure smooth transition to delivery teams, and develop intellectual property (e.g., frameworks, accelerators).

Qualifications

Bachelor s degree in computer science, Software Engineering, or related field

10-15 years in senior presales, solution architecture, technical consulting, or application development leadership roles at a systems integrator, consultancy, or vendor.

• Strong full-stack development experience across modern technologies (e.g., front-end frameworks like React/Angular/Vue, back-end with Node.js, Java, .NET, Python, databases, APIs, and cloud services).

Strong experience embedding AI into applications (e.g., GenAI for personalization, ML ops, intelligent APIs, agentic frameworks like AutoGen, CrewAI, or LangGraph).

Demonstrated experience working with enterprise clients in at least one of the following industries: payment processing, retail, or property & casualty (P&C) insurance.

Extensive track record leading large-scale application modernization initiatives, including legacy transformation to cloud-native and AI-infused architectures.

Deeper understanding of AI technologies, including generative AI, large language models, and agentic AI (e.g., autonomous agents, multi-agent orchestration, reasoning loops, tool integration, and their embedding in modern applications).

In-depth expertise in modernization strategies (e.g., rehost, refactor, rebuild), platforms (AWS, Azure, Google Cloud Platform), and tools (Kubernetes, Docker, Terraform).

Outstanding executive presence, client-facing skills, and proven success in influencing stakeholders and winning strategic deals.

Superior communication and presentation abilities for diverse audiences.

Willingness to travel for key client interactions.

Preferred: Certifications (e.g., AWS/Azure/Google Cloud Platform Professional Architect), industry speaking, or published work.