20 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Senior Engineer, AI
96Β 500 - 183Β 500$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Engineer, AI (Machine Learning, Generative AI, AWS): Designing and deploying secure AI and machine learning solutions for financial use cases with an accent on scalable architecture, MLOps, and auditability. Focus on building data and model pipelines, integrating AWS services for vector search and orchestration, and developing production-ready agentic workflows.
Location: North Chicago, Illinois, United States; onsite
Salary: $96,500β$183,500 per year
Company
AbbVie discovers and delivers medicines and healthcare solutions across areas including immunology, oncology, neuroscience, and aesthetics.
What you will do
- Design, engineer, and implement machine learning, generative AI, and agentic AI solutions for financial applications.
- Lead technical architecture for secure, scalable, compliant, and auditable AI systems.
- Select and integrate AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance.
- Build and deploy predictive analytics, ML, and generative AI solutions into production.
- Develop data and model pipelines, APIs, and integration layers while implementing MLOps for training, validation, deployment, and monitoring.
- Establish deployment standards, CI/CD, observability, and cost controls; mentor junior engineers and support production systems.
Requirements
- Bachelorβs degree with 6 years of experience, masterβs degree with 5 years of experience, or PhD with no experience required.
- Thorough theoretical and practical knowledge of Python, data science, machine learning, generative AI, and agentic AI.
- Experience architecting solutions in AWS and integrating AWS services for AI/ML workloads.
- Experience developing robust data and model pipelines, APIs, integration layers, and MLOps practices.
- Experience establishing deployment standards, CI/CD, and observability using GitHub and AWS.
- Strong written and oral English communication skills and cross-functional collaboration experience.
Nice to have
- AWS certification in architecture or AI.
- Experience implementing creative technology solutions that advance business outcomes.
Culture & Benefits
- Collaboration with technology, finance, risk, compliance, business units, affiliates, subsidiaries, and vendors.
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Eligibility for short-term incentive programs.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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