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20 часов Π½Π°Π·Π°Π΄

Senior Engineer, AI

96Β 500 - 183Β 500$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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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: $96,500–$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

  • Bachelor’s degree with 6 years of experience, master’s 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’