Moving Up the AI Career Ladder: 10 Mid-Level Roles and How to Get Them

Alfred E. Neuman

October 27, 2023

Introduction:

Artificial intelligence skills are in high demand, and there are exciting new roles cropping up for professionals who want to take the next step in their AI careers. Whether you already have entry-level experience or are looking to switch into the field, mid-level AI jobs present great opportunities to expand your impact and leadership.

This blog post explores 10 of the most promising AI-focused jobs you can aim for once you’re ready to graduate from junior roles. They require specialized skills and experience, but the reward is getting to own significant projects and initiatives while harnessing advanced AI capabilities. Read on to find out what these jobs involve day-to-day and how you can skill up to be an ideal candidate.

AI Product Manager

  • Responsibilities:
    • Drive product strategy
    • Gather requirements
    • Prioritize features
    • Analyze metrics
  • Preferred Skills:
    • Understanding of full AI development lifecycle
    • Ability to collaborate with various teams
  • How to Prepare:
    • Take PM courses focused on AI
    • Gain experience assisting PMs or transitioning from technical roles

AI Business Analyst

  • Responsibilities:
    • Identify AI opportunities
    • Develop business cases
    • Track ROI
  • Preferred Skills:
    • Knowledge of AI use cases
    • Data analysis
    • Quantifying impact
  • How to Prepare:
    • Take business courses focused on AI transformation
    • Get analytics experience in an industry

AI Marketing Specialist

  • Responsibilities:
    • Create AI-driven campaigns
    • Leverage predictive analytics
    • Determine ideal customer targeting
  • Preferred Skills:
    • Familiarity with AI marketing platforms
    • Data analysis
    • Measurement
  • How to Prepare:
    • Take AI marketing courses focused on real tools
    • Practice data-driven campaign design

AI Recruiter

  • Responsibilities:
    • Manage full talent acquisition lifecycle leveraging AI sourcing, screening, matching tools
  • Preferred Skills:
    • Understanding of modern AI recruiting platforms
    • Ability to interpret AI insights
  • How to Prepare:
    • Learn best practices for AI recruiting
    • Get experience using real tools like HireVue and SeekOut

AI Sales Engineer

  • Responsibilities:
    • Educate prospects on AI solutions
    • Demonstrate capabilities
    • Support sales team
  • Preferred Skills:
    • Technical knowledge of AI products/services
    • Ability to explain value
  • How to Prepare:
    • Combine software sales experience with applied AI skills
    • Practice pitching AI products

AI UX Designer

  • Responsibilities:
    • Design interfaces for AI products
    • Apply human-centered design principles
    • Conduct user research and testing
  • Preferred Skills:
    • Strong grasp of UX design for complex systems
    • Understanding of AI capabilities and limitations
  • How to Prepare:
    • Take courses focused on UX design for AI
    • Stay updated on trends in conversational UI

AI Solutions Architect

  • Responsibilities:
    • Design optimal AI system architecture
    • Select appropriate models, tools, infrastructure
    • Guide technical implementation
  • Preferred Skills:
    • Broad view of AI technologies and capabilities
    • Deep hands-on technical experience
  • How to Prepare:
    • Work on complex AI implementation projects
    • Keep skills current across AI modeling techniques

AI Strategy Consultant

  • Responsibilities:
    • Advise clients on AI strategy
    • Identify use cases, capabilities needed
    • Analyze ROI potential
  • Preferred Skills:
    • Strong business acumen
    • Technical understanding of real-world AI
  • How to Prepare:
    • Get experience in strategy consulting
    • Take AI business courses focused on strategy

Conclusion:

Moving from entry-level roles to strategic mid-level AI positions takes diligent preparation but offers immense potential for career growth and fulfillment. Follow the guidance in this post to build both the soft and technical capabilities needed to succeed.

Remember that hands-on experience and demonstrated impact matter just as much as specific skills when seeking that next level role. Contribute value in your current position while actively expanding your knowledge, and you’ll be on the path to leadership in applying AI to drive real business results.

With a passion for AI and focus on continuous learning, an exciting future awaits! Determine what mid-level jobs best fit your strengths, then start working toward making them your next career destination.

Alfred E. Neuman
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