Overview
The Associate Software Engineer - AI Solutions is responsible for researching, developing, and embedding advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities across the corporate portfolio. This role will involve leading the AI-first redesign of corporate workflows and the modernization of legacy systems to support advanced generative AI (GenAI) and Agentic frameworks.
Key Responsibilities
- Conducts advanced research and analysis within the AI/ML landscape to architect and propose innovative solutions for complex corporate business challenges.
- Spearheads targeted GenAI use cases, specifically automating document synthesis, contract drafting, and policy-checking to drastically optimize HR, Legal, and Corporate Secretariat workflows.
- Applies deep technical expertise and broad industry knowledge to navigate and execute high-stakes, difficult AI engineering assignments from conceptualization to deployment.
- Leads the paradigm shift toward "AI-first" corporate operations, fundamentally reimagining and redesigning legacy business processes, user experiences, and application architectures.
- Collaborates with corporate business leadership across key units to identify high-impact automation opportunities and translate overarching business objectives into scalable, AI-native solutions.
- Engineers and prototypes autonomous AI agents capable of executing complex, multi-departmental corporate workflows.
- Drives the modernization of legacy corporate IT infrastructure, proactively reducing technical debt and architecting transitions toward decoupled, cloud-native environments.
- Leads the integration of advanced AI models into the fabric of the modernized IT landscape, optimizing API connections with core Enterprise Resource Planning (ERP) and Human Capital Management (HCM) systems.
- Designs and deploys secure Retrieval-Augmented Generation (RAG) frameworks that allow disparate corporate units to safely query highly sensitive internal repositories, policy databases, and institutional historical records.
- Designs and enforces rigorous Human-in-the-Loop (HITL) validation protocols for AI-generated corporate, legal, and financial documents.
- Acts as a steward for AI governance by ensuring all machine learning and modernization initiatives strictly comply with corporate ethical standards, global data privacy regulations, and internal information security mandates.
- Drives AI literacy and adoption across corporate business units, demystifies AI technologies for non-technical stakeholders, and promotes a culture of continuous digital improvement.
- Develops comprehensive training programs and accessible prompt-engineering playbooks specifically tailored for administrative, analytical, and executive corporate staff.
- Defines, monitors, and reports on key performance indicators (KPIs) for deployed AI solutions.
- Acts as a strategic technical advisor by continuously evaluating emerging AI market trends to recommend proactive platform upgrades and secure the corporate department's competitive technological advantage.
Required Experience
- Requires a Master’s degree with 5 years of experience or a Bachelor’s Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
- Demonstrated ability to design, develop, and deploy scalable, high-quality software and AI solutions across multiple platforms.
- Hands-on experience building enterprise applications that meet complex business requirements with minimal supervision.
- Proven track record in cloud deployment architectures, dynamically scaling AI services, monitoring production systems, troubleshooting technical issues, and optimizing application performance.
- Skilled in designing, building, and managing robust data processing pipelines and enterprise data orchestration workflows, with a demonstrated ability to work securely with sensitive information.
- Demonstrated expertise in designing and building autonomous, multi-step AI agents and utilizing advanced orchestration frameworks.
- Expert-level knowledge of Large Language Models (LLMs), generative AI architectures, and Natural Language Processing (NLP) techniques.
- Extensive experience implementing Retrieval-Augmented Generation (RAG) architectures using enterprise-grade managed search services and vector databases, incorporating continuous feedback loops.
- Strong understanding of secure coding practices and compliance standards throughout the Software Development Life Cycle (SDLC).
- Deep familiarity with bias detection, explainability, and the implementation of guardrails.
- Experience enforcing rigorous software development best practices, including peer code reviews, automated testing, comprehensive documentation, and strict version control.
- Active participation in Agile methodologies (sprint planning, daily stand-ups, retrospectives).
- Strong ability to collaborate effectively with product owners, designers, and business stakeholders.
- Strong analytical skills to deconstruct complex technical challenges, propose effective solutions, and continuously evaluate emerging technologies.
- Mentors and guides junior engineers to elevate the team’s core competencies, while simultaneously establishing foundational AI practices.
Qualifications
- Requires a Master’s degree with 5 years of experience or a Bachelor’s Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
- Recommended Certifications: Certification in AI Ethics; Microsoft Certified: Azure AI Engineer Associate; Google Machine Learning Engineer; Google Generative AI Leader; SAFe Agile Software Engineer (ASE) or equivalent
