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Artificial Intelligence (AI) Solution Architect

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Artificial Intelligence (AI) Solution Architect

3 days ago Be among the first 25 applicants

Join to apply for the Artificial Intelligence (AI) Solution Architect role at Signify Technology

Job Title: Artificial Intelligence (AI) Solution Architect
Job Type: Permanent
Salary: $185,000 - $215,000 + 15% bonus
Role Location: Chicago, IL (Hybrid, with flexibility for remote work)
Visa Requirements: US citizenship or permanent residency required; visa sponsorship not available.
The Company
A leading global professional services firm specializing in technology-driven solutions for enterprise clients across industries such as finance, healthcare, and manufacturing. With a commitment to innovation, the company delivers commissioning, validation, and IT services, empowering clients to achieve operational excellence through cutting-edge technologies like AI and machine learning.
Role And Responsibilities

• Design and implement scalable AI/ML solutions, including data pipelines, model development, and deployment, to address client business challenges.
• Collaborate with stakeholders to gather requirements, translate business needs into technical architectures, and present solutions to technical and executive audiences.
• Build and deploy AI/ML models using cloud platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch), ensuring alignment with business objectives.
• Lead discovery sessions and workshops to define AI use cases, develop proofs-of-concept (PoCs), and validate technical feasibility.
• Mentor junior architects and engineers, fostering expertise in AI/ML methodologies and ensuring adherence to best practices.
• Monitor emerging AI/ML trends and technologies, integrating innovative approaches into solution designs.
• Ensure solutions comply with industry standards (e.g., SOC2, ISO 27001) and cybersecurity policies, particularly for regulated industries.
  
  

Job Requirements:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s or Ph.D. preferred.
• 5+ years of experience in solutions architecture or a related role, with at least 2 years focused on AI/ML model development and deployment.
• Proficiency in programming languages such as Python, Java, or Scala, and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (e.g., MLFlow, Weights & Biases).
• Hands-on experience with data science pipelines, including feature engineering, model training, and deployment.
• Excellent communication skills for presenting technical concepts to diverse audiences, including C-level executives.
• Experience in regulated industries (e.g., finance, healthcare) or federal projects is a plus.
• Preferred certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or equivalent.
  
  

Benefits:

• Competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match.
• Paid time off, including vacation, sick leave, and holidays.
• Professional development opportunities, including training and certification support.
• Flexible hybrid work environment with opportunities for remote work.
• Access to cutting-edge technologies and collaborative projects with global clients.
  
  

Accessibility Statement
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment To Diversity, Equity, And Inclusion
Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.
Check out our DE&I page here

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

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