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Technical Anchor

Job ID
57029
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  • Responsibilities:
  • Develop digital products across Digital, web, and mobile web platforms.
  • Lead implementation of conversational AI solutions, including designing engaging conversational flows, intents, and entities.
  • Architect multi-turn dialogues and manage contexts to ensure natural, human-like conversations.
  • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and integrate AI solutions seamlessly.
  • Continuously research and evaluate emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions.
  • Provide application support and manage migrations.
  • Work on a balanced product team to define, design, develop, and deploy front-end client development frameworks like React, GraphQL, Adobe Experience Manager, Salesforce and DialogFlow. 
  • Document conversation flows, ML training data, fine-tuning processes, and design guidelines.
  • Solid understanding of chatbot architecture (NLU, dialogue management, response generation).
  • Experience with deep learning/NLP frameworks (TensorFlow, PyTorch, Hugging Face, spaCy).
  • Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus).
  • Knowledge of contact centre AI and integrations with telephony platforms (Genesys, Avaya, Twilio) is advantageous.
  • Deliver valuable, working, tested, quality software, released at market speed.
  • Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset.
  • Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables.
  • Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery.
  • Participate in and champion highly collaborative practices, including:
    • Full Stack eXtreme Programming (XP)
    • Pair Programming
    • Test-Driven Development (TDD)
    • DevOps
    • Continuous Integration and Continuous Deployment (CI/CD)
    • Security practices (SAST/DAST)
  • Use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.)
  • Engage in Agile practices including, but not limited to, Stand-ups, backlog grooming, sprint demos, and journey mapping.
  • On-call, off-hours, and weekend support is required on a rotational basis.
  • Preferred Qualifications:
  • B.E. / B.Tech / M.C.A.
  • Minimum 10+ years of experience in a hands-on technical role engaged in developing, implementing, and supporting software applications.
  • 4+ years of work experience with the Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud).
  • 4+ years of work experience with front-end client development frameworks like React, GraphQL, Adobe Experience Manager, and Salesforce.
  • 3+ years of work experience with Microservice architecture and SOAP or REST APIs.
  • 2+ years of Cloud-Native Development experience with the Pivotal Cloud Foundry Platform or similar AWS/Azure.
  • 3+ years of work experience with front-end client development frameworks (Angular/React).
  • 3+ years of work experience with Agile project involvement and Software Craftsmanship.
  • Experience with Large Language Models (LLMs), including their development, fine-tuning, and deployment.
  • Proficiency in Java programming is a significant advantage.
  • Proficiency with other AI/ML frameworks and libraries such as TensorFlow or PyTorch is a plus.
  • Exposure to LLMs (OpenAI, Gemini, LLaMA, Claude) for advanced conversational AI use cases.
  • Knowledge of speech technologies (ASR, TTS) and voice bot deployment.
  • Exposure to other conversational AI platforms (Amazon Lex, IBM Watson Assistant, Microsoft Bot Framework, Rasa).
  • Familiarity with speech-to-text (STT), text-to-speech (TTS) engines and voice-based assistants.
  • Prior experience in customer support automation projects.
  • Experience with various testing types including Unit, integration, regression, user testing, and load testing (specifically TDD with JUnit and Selenium).
  • Experience with code quality tools (e.g., 42Crunch, SonarQube, Checkmarx, etc.).
  • Experience with build and CI/CD tools (e.g., GitHub, Jenkins, Maven, Gradle, etc.)
  • Relevant certifications in Conversational AI, NLP, or Google Cloud AI are a plus.
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