Unleash Your Potential Jobs in New York City, NY

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Application Developer-SAP ABAP HANA

Company: IBM

Location: New Delhi, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI initiatives. Responsibilities include feature development, stakeholder collaboration, and continuous learning. Requirements involve a bachelor's degree, ABAP on HANA expertise, and experience with SAP technologies.

Recruiter (RPO)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights opportunities to shape IBM's future through innovative recruitment practices, contribute to client satisfaction, and work with a talented team. It outlines responsibilities including candidate sourcing, brand ambassadorship, and collaboration with hiring managers, while specifying requirements like a bachelor's degree and experience in recruitment.

F&A Delivery Manager

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

The text describes a leadership role at IBM's consulting delivery centers, emphasizing innovation, client satisfaction, and operational excellence. It outlines responsibilities including team management, service delivery, and strategic planning, while highlighting required expertise in financial processes and large-scale project management.

ETL Informatica Lead

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical expertise in data integration solutions. The role involves designing business intelligence systems using Informatica and other tools, with requirements including ETL development, cloud technologies, and database management skills.

General Accounting Professionals

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description outlines the role of a General Ledger Accountant at IBM, including responsibilities like financial record management, reconciliation, and intercompany processing, along with required skills and qualifications.

Customer Success Manager Architect (Campus)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This role involves helping clients maximize IBM product value through strategic advisory and collaboration, offering career growth and impactful work in a supportive environment.

Power Systems and Cloud Business Leader, ISA

Company: IBM

Location: New Delhi, IN

Posted Dec 09, 2025

The role of a Technology Sales Manager at IBM involves driving team collaboration, building client relationships, and executing complex sales strategies to achieve business growth. The position emphasizes innovation, problem-solving, and leveraging IBM's expertise to deliver integrated solutions across diverse industries.

2026 Senior Data Scientist Intern - Corporate Development (M&A)

Company: IBM

Location: New York, US

Posted Dec 09, 2025

This text describes a Data Scientist internship role at IBM, focusing on transforming data into business value through AI and analytics. The position involves collaboration, problem-solving, and working with advanced technologies to drive enterprise performance and innovation.

Application Architect – EHS, Quality & PLM Systems

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description outlines an Application Architect role at IBM Consulting, focusing on designing and optimizing enterprise systems for regulated environments. The position offers remote work and collaboration with global clients, emphasizing innovation in hybrid cloud and AI solutions.

Payroll Practitioner (Japanese Speaker)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a senior consulting role at IBM focusing on innovation, technical expertise, and collaboration with clients. It highlights responsibilities involving process improvement, technical support, and leadership in solving complex business challenges. Requirements include Japanese language proficiency, ERP systems experience, and strong analytical skills.

IBM Consulting Interns

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This internship offers professional growth, collaboration, and technical skills development in IBM Consulting, focusing on innovation and career advancement through global client projects and industry expertise.

Quality Engineer-Performance & Resilience Management

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, requiring technical expertise in performance testing tools and emphasizing collaboration, growth opportunities, and strategic partnerships.

Frequently Asked Questions

What are the typical salary ranges for AI Ops roles at different seniority levels?
Entry‑level AI Ops Engineers earn between $90,000 and $120,000 annually. Mid‑level professionals typically see $120,000 to $160,000, while senior and lead positions command $160,000 to $210,000, plus equity and performance bonuses.
Which skills and certifications are essential for a career in AI Ops?
Proficiency in Terraform, Kubernetes, and cloud platforms (AWS, Azure, GCP) is mandatory. Strong scripting in Python or Go, knowledge of CI/CD tools like Jenkins or GitHub Actions, and security certifications such as CISSP or CompTIA Security+ add significant value.
Can I work remotely in AI Ops positions listed on Job Transparency?
Yes, the majority of AI Ops roles offer fully remote or hybrid arrangements, with many companies providing global time‑zone flexibility and virtual onboarding programs.
What career progression paths exist for AI Ops professionals?
Typical trajectories move from AI Ops Engineer to Lead AI Ops Engineer, then to Platform Engineer or Platform Lead, and eventually to Director of Platform or Chief Operations Officer roles within tech‑focused organizations.
What industry trends should AI Ops professionals watch for in the next 12–18 months?
Key trends include the rise of AI‑driven observability, increased adoption of serverless and edge computing, tighter integration of ML Ops with traditional DevOps, and a growing emphasis on automated security compliance within infrastructure pipelines.

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