Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Oracle Cloud Order Management
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
We are seeking a forward-thinking professional with AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within Oracle platforms. The ideal candidate should have a strong understanding of various Business Functions, a passion for innovation in AI, and rich experience with delivering enterprise grade technology solutions using Gen AI / Agentic AI Frameworks.
This role requires the ability to conceptualize and implement AI-driven enhancements to traditional Oracle processes, driving the next generation of enterprise automation and intelligence
Summary
Ideal candidates will have a proven track record in managing large-scale, complex green field implementations, transformations, and migrations.
This role is critical for turning around troubled projects requiring the ability to assess the current state, define recovery solutions, and execute recovery plans with minimal impact on cost, schedule, and scope.
Roles & Responsibilities:
-Expected to perform independently and become an SME.
-While the business situation / problem is given – you will have responsibility to visualize innovative solutions leveraging GenAI & Agentic architecture and the best of available technologies from Oracle and other providers.
-Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
-Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
-Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
-Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
-Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural -Language Processing)
-Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects.
-Proven experience in recovering, stabilizing, and realigning projects facing significant delivery challenges. Demonstrated ability to restore delivery excellence
-Manage delivery recovery efforts end-to-end—including issue identification, impact assessment, recovery solutioning, and execution of turnaround plans.
-Manage robust delivery governance frameworks aligned with TDLC, Agile, or SAFe methodologies, ensuring strict adherence to sprint cycles, milestones, and process standards.
-Successfully re-baselined delivery plans, managed risks and issues proactively, and realigned delivery commitments with client expectations to restore program health.
-Monitored and enhanced Delivery Experience (DEX), drove reductions in Cost of Poor Quality (COPQ), and improved delivery quality through measurable KPIs.
-Built and maintained trust with internal and external stakeholders through structured communications, governance routines, and proactive engagement.
-Support Steering Committees, weekly executive connects, and status reviews to ensure transparency, alignment, and stakeholder confidence.
-Tracked and analysed key schedule, quality & financial metrics (Ex) SPI, burn rate, forecast accuracy, margin, and budget compliance.
-Identified cost leakages and led commercial resets and Estimate at Completion (EAC) recovery initiatives.
-Proactively identified delivery risks and implemented preventive or corrective actions.
-Ensured compliance with internal audits, InfoSec requirements, and quality gates.
-Provided hands on to address complex technical and project-level challenges across teams.
-MAnaged contract deliverables, including financial constructs, liability clauses, dependencies, and entry/exit criteria.
-Drove excellence through agile methodologies, quality frameworks, and continuous improvement initiatives.
-Hand on Experience in at least one major enterprise platform—SAP, Oracle, Salesforce, Workday, o9 Solutions, or other supply chain platforms.
-Hands on in one or more business domains—Finance, HR, Supply Chain Management, or Customer Experience.
-Experience in Agile and SI delivery principles with a focus on transformation excellence, governance, and stakeholder satisfaction.
-Manage day-to-day execution, sprint coordination, issue tracking, and team-level quality management, team coaching.
-Create MPP/MSPS plan, track schedule, cost & quality. Track effort variance, rework costs, and non-compliance cost impact.
-Manage RAID logs, support internal compliance, and documentation.
Professional & Technical Skills:
-Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
-Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
-Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)
-Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects.
Must To Have Skills:
-Proficiency in Oracle Cloud Order Management.
Good to have Skill:
-Application Migration Management Software Quality Assurance (SQA).
-Supported platform design validations and pivot decisions. Developed and executed platform realignment decisions.
-Mentored technical teams, and developed reusable assets, knowledge bases, and recovery playbooks.
-Managed and coached high-performing delivery teams.
-Oversaw knowledge transition, onboarding, and skills alignment for sustainable delivery capability.
-AMS End to End Recovery experience
-Manage workforce planning, readiness tracking, and onboarding quality.
-Exposure to GenAI technologies.
Additional Information:
-The candidate should have minimum 13–15 years of experience in Oracle Cloud Order Management.
PMI, PRINCE2 or equivalent certification
-Relevant platform certifications (SAP, Oracle, Salesforce, Workday, o9, Supply Chain Platform etc.)
-15 years full time education is required.
-Position Open across PAN India

15 years full time education

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