Lowongan Kerja Solutions Architect GenAI Python Data AWS Provectus Terbaru di Jakarta

Info Loker	Lowongan Kerja Solutions Architect Genai Python Data Aws
Tanggal	31 Juli 2026
Perusahaan	Provectus
Kota	Jakarta

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Info Terbaru Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 di Provectus. Salam Sukses bagi agan yang sedang mencari pekerjaan. Semoga tidak putus asa untuk mencari pekerjaan yang pas dengan kualifikasi Anda. Memang seringkali mencari pekerjaan yang sesuai sangatlah susah di tahun 2026 ini. Pada kesempatan ini admin akan memberikan informasi Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 di Provectus. Berikut ini informasi lebih rinci mengenai Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 Provectus.

Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 Provectus

Berikut ini adalah persyaratan yang harus Anda penuhi untuk mengajukan lamaran Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 Provectus yang dibuka pada bulan November 2026 ini:

What You’ll Do:

Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
Implement and optimize RAG systems for production use cases
Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.

Deploy ML and LLM-based solutions
Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.
Lead architecture reviews, produce technical design documents, and contribute to standards
Mentor engineers, lead code reviews, and share knowledge across the team.

What You’ll Bring:

Mindset

Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams

Presales & Client Engagement

Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
Experience with cost estimation and cloud architecture cost optimization

AI & Python/ Data & Cloud

7+ years building and running production systems — not only demos and POCs
Hands-on experience building production LLM-based applications and agentic workflows
Experience in integrating AI/ML components into solutions
Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
Experience building and optimizing RAG systems
Understanding of LLM evaluation techniques and quality assurance approaches
Experience deploying and maintaining AI/ML models in production environments
Python skills: OOP, design patterns, clean architecture, and performance optimization
Experience building RESTful APIs with FastAPI, Django REST, or Flask
Experience in making and defending architectural trade-off decisions
Experience with Docker and Kubernetes
Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
Understanding of CI/CD practices applied to ML and AI pipelines
Familiarity with model monitoring, observability, and drift detection.

Nice to Have

AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, Node.js, or Rust).
Hands-on experience with Apache Spark, Apache Airflow, Kafkа

What We Offer:

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Lowongan Kerja Solutions Architect GenAI Python Data AWS Jakarta November 2026 Provectus

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