Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Neal Analytics

Compare

3.6

based on 24 Reviews

24 Neal Analytics Jobs

Solutions Architect - Edge Computing & IoT

Neal Analytics

3.6

based on 24 Reviews

4-12 years

Mumbai, Pune, Chennai + 2 more

1 vacancy

Solutions Architect - Edge Computing & IoT

Neal Analytics

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python C++ Packaging Javascript Microsoft Power BI Presales

+ 4 more

Job Description

We are seeking an innovative and driven Solutions Architect to join our growing Edge & IoT team. In this role, you will work closely with clients and internal engineering teams to design and implement effective edge computing and IoT solutions that leverage our expertise in AI/ML and strategic partnerships with Microsoft, Intel, Nvidia, and other industry leaders. You will demonstrate strong technical proficiency, a keen understanding of client requirements, and a commitment to delivering high-quality, innovative solutions.

To excel in this role, you should possess a strong technical background in AI/ML and Edge Computing, excellent communication and interpersonal skills, and a demonstrated ability to think critically and creatively, adapting quickly to new challenges. A successful Edge AI Solutions Architect will have a keen understanding of both technology and business requirements and will be able to translate complex ideas into effective, user-friendly solutions that drive client success and satisfaction. If you are ready to contribute to a dynamic and growing organization, we encourage you to apply.

Key Responsibilities:

As an Edge & IoT Solutions Architect, you will work: -

Collaborate with clients to gather requirements, understand business objectives, and translate them into technical specifications for the engineering team.
Design innovative Edge & IoT solutions, incorporating AI/ML components and leveraging cloud platforms such as Azure, AWS, and GCP.
Contribute and lead the development of Edge & IoT accelerators and PoVs.
Design, select, and deploy various IoT hardware components such as sensors, cameras, embedded devices, gateways, and servers, considering factors like power consumption, connectivity, interoperability, and environment constraints.
Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements.
Collaborate with engineering teams to ensure proper implementation of the designed solutions and provide technical guidance throughout the project lifecycle.
Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team.
Act as a subject matter expert in Edge & IoT technologies, staying abreast of industry trends, emerging technologies, and best practices.
Support the account team in the pre-sales process by providing technical assistance and inputs into solution proposals.
Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions.

Technical Skills Required:

Strong knowledge of IoT protocols such as MQTT, CoAP, and AMQP.
Proficiency in edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core.
Solid understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios.
Experience working with various IoT devices, sensors, and connectivity solutions (e.g., Wi-Fi, Bluetooth, 5G, LoRaWAN, NB-IoT, etc.).
Familiarity with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT.
Proven experience with programming languages such as Python, C#, C/C++, or JavaScript.
Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S).
Strong knowledge of networking concepts, protocols, and technologies (e.g., TCP/IP, UDP, VLAN, VPN, Ethernet, and wireless communication protocols), and experience in designing and implementing secure, reliable, and scalable network architectures for IoT and edge computing solutions.
Familiarity with different hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and others, and the ability to choose the appropriate platform according to the specific requirements, constraints, and performance expectations of the solution.
Expertise with packaging and deploying AI and ML models on edge devices using common AI frameworks such as TensorFlow, PyTorch, or ONNX Runtime, and familiarity with optimizing these models for resource-constrained environments and efficient execution at the edge.
Experience in designing IoT and edge computing solutions that consider factors such as physical security, device management and maintenance, thermal management, and enclosure design.
Proficiency in assessing the compatibility, interoperability, and performance of various hardware components and their integration into a comprehensive, well-structured solution architecture.
Knowledge of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security.

Qualifications:

Bachelor s or master s degree in computer science, Engineering, or related field.
Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years focusing specifically on Edge AI and/or AI/ML integration.
Strong communication and presentation skills.
Excellent problem-solving abilities and attention to detail.
Ability to work independently or as part of a team.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Solution Architect roles with real interview advice