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Senior Embedded Ai Jobs in Rising Sun, MD (NOW HIRING)

Duckietown, Inc.

Senior Hardware Engineer

Wilmington, DE

$107K - $143K/yr

... AI Driving Olympics [4] at NeurIPS. [1]: [2]: [3]: [4]: What you will do As an early senior ... Competence in robotics engineering, including mechanical engineering, PCB design, and embedded ...

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All JobsSenior Embedded Ai JobsSenior Embedded Ai Jobs in Rising Sun, MD

Senior Embedded Ai information

See Rising Sun, MD salary details

$74.8K

$143.5K

$191.8K

How much do senior embedded ai jobs pay per year?

As of Jun 28, 2026, the average yearly pay for senior embedded ai in Rising Sun, MD is $143,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $161,100.00 per year, depending on experience, location, and employer.

What is a Senior Embedded AI Engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

What are the key skills and qualifications needed to thrive as a Senior Embedded AI Engineer, and why are they important?

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by Senior Embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.
What cities near Rising Sun, MD are hiring for Senior Embedded Ai jobs? Cities near Rising Sun, MD with the most Senior Embedded Ai job openings:
Senior Embedded Ai jobs near you

Sr . AI Architect

Futran Tech Solutions Pvt. Ltd.

Wilmington, DE • On-site

Other

Posted 11 days ago

Job description

Senior AI/ML Architect – Customer-Facing, Strategic Role

We are seeking a Senior Data & Analytics Architect to serve as a customer-anchoring, consultative leader. This role combines deep architectural expertise with strong commercial and stakeholder-shaping capability.

The architect will co-create the current-to-future state data, analytics, and AI vision, anchor senior customer conversations, and directly enable downstream solutioning and delivery opportunities for Wipro. This is not a pure design role—it requires ownership of the narrative, influence, and commercial outcomes.

Anchor and lead customer discussions with IT and Business teams.

Understand, document, and rationalize the current-state data and analytics landscape.

Co-create a future-state / target architecture covering:

  • Unified data foundation
  • Data integration layer
  • Analytics, dashboards, and reporting
  • AI-enabled insights and communication

Address core LPF (Large Product Fulfilment) challenges:

  • Lack of end-to-end visibility across product fulfilment lifecycle
  • Data silos and failed prior “lighthouse” approaches

Shape AI-enabled use cases (forecasting, decision intelligence, communication).

Translate architecture into sized, phased delivery opportunities.

Partner with sales and delivery teams to ensure downstream revenue capture.

Serve as a long-term embedded advisor, providing continuity across change.

12–18+ years of experience in data, analytics, or platform architecture roles.

8+ years in customer-facing / consultative engagements.

Proven experience shaping enterprise-scale data and analytics transformations.

Demonstrated success influencing senior stakeholders and anchoring solution conversations.

Strong current-state to target-state architecture design capability.

Deep understanding of:

  • Data engineering and integration
  • Analytics and reporting platforms
  • AI / advanced analytics concepts

Commercial mindset—comfortable owning solution visioning, sizing, and positioning.

Executive-level communication and storytelling skills.

Retail, supply chain, or fulfilment analytics experience.

Exposure to forecasting and planning platforms (e.g., o9, Relex).

Experience operating in fast-evolving, ambiguous environments.

Directly impacts Customer’s data and analytics strategy.

Critical to prevent architecture-only handoff and ensure Wipro captures downstream delivery.

Addresses foundational challenges:

  • End-to-end visibility
  • Data silos
  • AI-enabled integration and communication

Designed as a long-term strategic investment, not temporary coverage.

Trusted architect and advisor to Wipro & Customer leadership.

Clearly defined and adopted target-state architecture.

Pipeline of well-shaped, executable delivery opportunities.

Improved business visibility and analytics adoption.

Strong Wipro positioning as a strategic Data & AI partner.

Apply