Home › Companies › Fa Emad Saasfaprod1 Fa Ocs Oraclecloud Com CX 6001 › Senior Lead Engineer
Senior Lead Engineer
Fa Emad Saasfaprod1 Fa Ocs Oraclecloud Com CX 6001 · IN_Remote Working, NAVI MUMBAI, MAHARASHTRA, IN · Remote · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Emad Saasfaprod1 Fa Ocs Oraclecloud Com CX 6001 |
| Title | Senior Lead Engineer |
| Normalized title | - |
| Department / team | Engineering |
| Location | MAHARASHTRA, IN, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-27 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Emad Saasfaprod1 Fa Ocs Oraclecloud Com CX 6001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in MAHARASHTRA. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Emad Saasfaprod1 Fa Ocs Oraclecloud Com CX 6001 |
| Source | b78b31cb-6771-41a8-b76d-8453fe7065a3 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Role Overview:
Join our dynamic product implementation services unit as an Agentic AI Specialist. You’ll contribute directly to the design, development, and deployment of agent-driven AI solutions for project management, software development, testing, and business automation. The role is ideal for a hands-on AI engineer with 6–8 years of total experience and demonstrated exposure to agentic AI, LLMs, enterprise automation, or intelligent workflow platforms.
Key Responsibilities:
Collaborate with senior engineers, architects, and business analysts to translate business needs into practical agentic AI workflows and interfaces.
Design and prototype autonomous AI agents for select use cases (e.g., sprint tracking, code review assistants, smart QA orchestration).
Implement agentic workflows and integrate LLMs, multi-agent frameworks (LangChain, CrewAI, Windsurf, AutoGen, etc.), and enterprise knowledge platforms (e.g., Glean, Copilot).
Build, test, and document agentic UI components and user experiences for business and technical stakeholders.
Support deployment, maintenance, and optimization of agentic AI solutions across services (including integration with project management tools, APIs, and cloud platforms).
Stay up to date with agentic AI trends, new toolkits, and patterns through technical research and experimentation.
Assist in developing best practices and reusable components for Agentic AI implementations.
Skills & Experience Required:
6–8 years in software engineering, AI/ML, automation, or related domains (with recent hands-on experience in agentic AI, multi-agent systems, or intelligent workflow solutions preferred).
Working knowledge of agentic AI development platforms (e.g., Windsurf, LangChain, AutoGen, CrewAI, Glean, or similar).
Experience implementing, testing, and maintaining Python-based agent scripts and workflows.
Exposure to LLM APIs (OpenAI, Google Vertex AI, etc.), knowledge management, and enterprise automation platforms.
Proficiency with modern APIs, workflow orchestration, and basic front-end frameworks (React/Vue is a plus).
Ability to document solutions and communicate technical concepts to both technical and business audiences.
Strong problem-solving, teamwork, and continuous learning orientation.
Preferred Qualifications:
Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field.
Experience with workflow automation for project management, development, or QA/testing in enterprise environments.
Participation in open-source agentic AI projects, hackathons, or published work in AI/automation a plus.
Full job record
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| Org ID | b82140cc-10f0-40fe-986c-efed77010d01 |
| Source ID | b78b31cb-6771-41a8-b76d-8453fe7065a3 |
| Board ID | b78b31cb-6771-41a8-b76d-8453fe7065a3 |
| Provider | oracle_hcm |
| Provider Job Key | 5033 |
| Title | Senior Lead Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | IN_Remote Working, NAVI MUMBAI, MAHARASHTRA, IN |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | IN |
| City | MAHARASHTRA |
| Salary Raw | Description Role Overview: Join our dynamic product implementation services unit as an Agentic AI Specialist. You’ll contribute directly to the design, development, and deployment of agent-driven AI solutions for project management, software development, testing, and business automation. The role is ideal for a hands-on AI engineer with 6–8 years of total experience and demonstrated exposure to agentic AI, LLMs, enterprise automation, or intelligent workflow platforms. Key Responsibilities: Collaborate with senior engineers, architects, and business analysts to translate business needs into practical agentic AI workflows and interfaces. Design and prototype autonomous AI agents for select use cases (e.g., sprint tracking, code review assistants, smart QA orchestration). Implement agentic workflows and integrate LLMs, multi-agent frameworks (LangChain, CrewAI, Windsurf, AutoGen, etc.), and enterprise knowledge platforms (e.g., Glean, Copilot). Build, test, and document agentic UI components and user experiences for business and technical stakeholders. Support deployment, maintenance, and optimization of agentic AI solutions across services (including integration with project management tools, APIs, and cloud platforms). Stay up to date with agentic AI trends, new toolkits, and patterns through technical research and experimentation. Assist in developing best practices and reusable components for Agentic AI implementations. Skills & Experience Required: 6–8 years in software engineering, AI/ML, automation, or related domains (with recent hands-on experience in agentic AI, multi-agent systems, or intelligent workflow solutions preferred). Working knowledge of agentic AI development platforms (e.g., Windsurf, LangChain, AutoGen, CrewAI, Glean, or similar). Experience implementing, testing, and maintaining Python-based agent scripts and workflows. Exposure to LLM APIs (OpenAI, Google Vertex AI, etc.), knowledge management, and enterprise automation platforms. Proficiency with modern APIs, workflow orchestration, and basic front-end frameworks (React/Vue is a plus). Ability to document solutions and communicate technical concepts to both technical and business audiences. Strong problem-solving, teamwork, and continuous learning orientation. Preferred Qualifications: Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field. Experience with workflow automation for project management, development, or QA/testing in enterprise environments. Participation in open-source agentic AI projects, hackathons, or published work in AI/automation a plus. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-emad-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6001/job/5033 |
| Apply URL | https://fa-emad-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6001/job/5033 |
| First Seen At | 2026-05-31 18:06:56Z |
| Last Seen At | 2026-06-06 11:34:16Z |
| Last Checked At | 2026-06-06 11:34:16Z |
| Last Changed At | 2026-05-31 18:06:56Z |
| Inactive At | — |
| Source Posted At | 2026-04-27 08:10:56Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-emad-saasfaprod1.fa.ocs.oraclecloud.com|CX_6001/date=2026-06-06/2026-06-06T11-34-13-957Z-658bc1585b1cc6e4ecc09c4d516fc1d97cdecde6323cbc0185fa0ac693dbe25f.json |
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