Lead the post‑sales solutions engineering organization, owning technical execution from kickoff through delivery and expansion across the US, Europe, and MEA.
Responsibilities
Own post‑sales solution delivery from implementation planning and paid pilots through production rollout, stabilization, and continuous optimization
Turn complex operational processes into well‑scoped technical plans, success criteria, milestones, and production‑ready architectures
Establish disciplined testing, release management, monitoring, incident response, and escalation practices for business‑critical AI workflows
Lead architecture and integrations with enterprise platforms such as SAP, Oracle, Workday, ServiceNow, email, documents, and customer data environments
Set the standard for AI agent quality: evaluations, accuracy, observability, exception handling, human oversight, security, and ongoing performance improvement
Pay Rate Range: $60 - 63/hr.
Job Description:
7 years of experience JavaSpring Boot, JavaScript ReactJS or other frameworks2. Azure or other public Cloud infrastructure, AI Builder Use and build agentic AI agents to solve business problems and for software development life cycle working in AI Pods3. AIML experience Handson experience building and deploying AIML solutions, including generative AI, LLMbased applications, AI agents, and integration with enterprise applications and data.
Must Have Skills
7+ years of experience JavaSpring Boot, JavaScript (ReactJS or other frameworks)
Azure or other public Cloud infrastructure, AI Builder (Use and build agentic AI agents to solve business problems and for software development life cycle) working in AI Pods
AIML experience Handson experience building and deploying AIML solutions, including generative AI, LLMbased applications, AI agents, and integration with enterprise applications and data.
Nice to have skills
Exposure to healthcare, financial services, or other highly regulated enterprise environments
Minimum years of experience
8-10 years
Interview Process (Is face to face required?)
Yes
Design, develop, and implement scalable, intelligent applications that combine modern web technologies with Artificial Intelligence and Machine Learning capabilities.
Locations (2)
Tokyo, Tokyo, Japan
Hyderabad, Telangana, India
Responsibilities
Design, develop, and maintain full-stack applications integrating AI/ML capabilities with modern web technologies and enterprise systems.
Build responsive and user-friendly front-end applications using frameworks such as React, Angular, or Vue.js.
Develop scalable back-end services, APIs, and application logic using Python, Node.js, or similar technologies.
Integrate AI/ML models, Large Language Models (LLMs), and generative AI services into business applications and workflows.
Develop and implement AI-powered functionalities, including intelligent automation, predictive analytics, and data-driven applications.