Agile Enterprise Solutions Inc Logo

Agile Enterprise Solutions Inc

DATASTAGE SOLUTION ARCHITECT

Reposted 3 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Oversee ETL migration program, serve as the technical point of contact, manage multiple rollouts, and establish governance for solutions.
The summary above was generated by AI
Company Description

Agile Enterprise Solutions (AES), a software development and consulting company, headquartered in Cheyenne, WY-and has 3 offices in US, and also has a strong offshore support and development center in Hyderabad, India. AES presently has over 200 consultants working across United states serving clients on various solutions namely, ERP (Oracle, SAP) Microsoft Technologies, Web technologies

Job Description

Oversee large ETL Migration/Modernization program
Single point of contact for overall solution/program - technically.
Work with multiple stakeholders
Manage multiple Rollouts/Waves/Phases
Manage Global Delivery structure
Create Governance structure to own/manage and execute the solution
Report to Clients/Stakeholders
Status reporting - periodic

Qualifications

Senior Technical Architect / Solution Architect - DATASTAGE

Additional Information

All your information will be kept confidential according to EEO guidelines.

Similar Jobs

36 Minutes Ago
In-Office
San Francisco, CA, USA
200K-325K Annually
Senior level
200K-325K Annually
Senior level
Artificial Intelligence • Software
Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow
36 Minutes Ago
In-Office
San Francisco, CA, USA
190K-230K Annually
Mid level
190K-230K Annually
Mid level
Artificial Intelligence • Software
Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.
Top Skills: Artificial IntelligenceLarge Language ModelsSaaS
36 Minutes Ago
In-Office
San Francisco, CA, USA
180K-200K Annually
Entry level
180K-200K Annually
Entry level
Artificial Intelligence • Software
Conduct applied AI research for legal technology, focusing on LLMs, deep learning, long-context reasoning, contract analysis, information extraction, hallucination mitigation, explainability, and model evaluation. Own research roadmaps, design experiments, build benchmarks, develop prototypes, and ship successful approaches into production with Engineering and Product. Communicate findings to technical and non-technical stakeholders.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account