Consultant Specialist

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Business: GPS Technology Job ID: 65692

Principal responsibilities:

• Taking part in optimization of the AI Agent to improve performance, scalability, resilience and cost efficiency, enabling Generative and Agentic AI use cases across GPS.
• Taking part in the evaluation and adoption of AI and ML technologies for GPS, with a focus on LLM, agentic AI, RAG, knowledge management, and emerging engineering patterns.
• Embed AI-native capabilities into engineering workflows, such as AI coding, technical solution generation, test case generation, test report generation, and automated environment setup/orchestration.
• Taking part in architecture design and core capability development for AI Agent Applications, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
• Runtime governance & operational framework, Establish AI agent runtime and governance frameworks, including Isolation and sandboxing, access control and permission, Auditability and traceability Evaluation and quality measurement.
• Knowledge augmentation layer design: integrate, and apply enterprise knowledge enhancement capabilities, including RAG (Retrieval-Augmented Generation), GraphRAG, Knowledge graphs (design, integration, and application)
• Partner across business lines and infrastructure team to align priorities, integrate requirements and unblock delivery across regions and time zones

Knowledge & Experience/Qualifications:

• Bachelor's or Master's degree in computer science, Software Engineering, or a related discipline.
• 8+ of experience delivering enterprise software/platform solutions including 3+ years in senior engineering leadership roles, especially 2+ years in Agentic AI development.
• System thinking: Strong ability to design and evolve complex systems with a focus on scalability, maintainability, and performance.
• Proficient in Python with strong coding fundamentals and architectural judgment; hands-on experience delivering complex systems.
• The candidate must have strong coding skills in Numpy, Pandas, NLU, NLP and machine learning algorithms.
• Deep understanding of LLMs and agent architectures, including: Task decomposition & planning, Tool use / function calling patterns, Context and session management, Memory design, Execution loops and exception handling
• Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks).
• Familiarity with mainstream AI coding and developer tools (examples: Claude Code, Codex, Cursor, Copilot or equivalence).
• Hands-on experience designing and implementing enterprise RAG, GraphRAG, or knowledge graph solutions for real application scenarios.
• Proven track record designing, building, and operating large-scale, low-latency, highly available, resilient platforms and shared services (API gateway/service gateway experience strongly preferred)
• Experience building secure-by-design platforms in regulated environments, with strong understanding of non-functional requirements (security, resilience, data protection, auditability)
• Strong knowledge of AI capabilities and their applications in financial services, including working knowledge of Generative AI/LLM platform patterns (model access, prompt/tooling services, guardrails, evaluation/monitoring) and how to enable safe consumption at scale.
• Proven ability to build, lead, and develop high-performing global teams spanning AI SMEs and full stack engineers across multiple regions and time zones.
• Strong stakeholder management skills, able to align business lines, infrastructure and control functions; clearly articulate AI capabilities and influence senior technology and business leaders.
• Experience working in Agile delivery models with strong collaboration and execution discipline.

What additional skills will be good to have?

• Experience with the following technologies (Hadoop, Spark, YARN, Kafka, Hive, HBase, MapReduce, RESTful services, Nosql database such as Mongo) would be an advantage.
• Team player and experience working in global teams with members in different locations.
• Aptitude to independently learn new technologies.
• Strong interpersonal and presentation skills with good command of written and spoken English
• Strong interpersonal skills, with the capacity to foster partnership among project participants and collaborate with them to ensure successful project delivery