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Cognitive Software Engineer Jobs in New York (NOW HIRING)

Senior .NET Developer

Manhattan, NY · On-site

$60.50 - $77.25/hr

NET Developer " - (NYC, NY - Day 1 Onsite - Need Local Candidates). and I am looking for a ... cognitive services - Design and develop the applications using advanced software technologies ...

GTM Engineer

New York, NY · On-site

$160K - $180K/yr

... cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph. * Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least ...

... cognitive load. * User Experience: Innovate and drive the evolution of UX/UI design, rapidly ... Requirements * 4+ years of software engineering experience, with a strong focus on full-stack ...

Automation/ DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

Through our portfolio of world leading autonomic and cognitive solutions we provide services that ... software standards Drive higher levels of autonomic resolution and diagnostics through continual ...

Translate agent capability into features that reduce cognitive load for on-call engineers, iterating quickly on user feedback. Requirements * 3+ years of software engineering experience, with a ...

... cognitive load. * User Experience: Innovate and drive the evolution of UX/UI design, rapidly ... Requirements * 4+ years of software engineering experience, with a strong focus on full-stack ...

Minimum Qualifications * 4+ years of software engineering experience, with at least 1 year building ... Cognitive Services, and their integration with ML workflows. * Familiarity with AI ethics, bias ...

Showing results 41-60

Cognitive Software Engineer information

See New York salary details

$69.5K

$161.4K

$224.8K

How much do cognitive software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cognitive software engineer in New York is $161,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $189,300.00 per year, depending on experience, location, and employer.

What is the difference between Cognitive Software Engineer vs Data Scientist?

AspectCognitive Software EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fieldsBachelor's or Master's in CS, Statistics, or Data Science
Work EnvironmentDevelops AI-powered applications, often in tech or research firmsAnalyzes data to extract insights, typically in tech, finance, or healthcare
Industry UsageAI and machine learning product developmentData analysis and predictive modeling

While both roles require strong technical backgrounds, Cognitive Software Engineers focus on building AI systems and applications, whereas Data Scientists analyze data to inform decisions. Both roles are prevalent in tech industries and often collaborate on AI-driven projects.

What cities in New York are hiring for Cognitive Software Engineer jobs?

Cities in New York with the most Cognitive Software Engineer job openings:

Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role

Saransh Inc

Weehawken, NJ • On-site

$111K - $146K/yr

Contractor

Re-posted 7 days ago


Job description

Role: Lead / Senior Machine Learning Enginee
Location: Weehawken, NJ (Day 1 Onsite) - Locals preferred
Job Type: W2 Contract
 
Position Overview:
  • We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs).
  • The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azure’s AI services and data engineering tools.
 
Key Responsibilities:
AI and Agentic Solutions Development:
  • Design, develop, and implement agentic systems for real-time decision-making processes.
  • Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
  • Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
  • Build, customize, and fine-tune large language models (LLMs) for diverse business applications.
  • Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization.
  • Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services.
Data Engineering Expertise:
  • Architect and maintain complex data pipelines and frameworks on Azure.
  • Work with relational and non-relational databases to preprocess and manage datasets for AI models.
  • Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows.
Python Development and Software Engineering:
  • Write high-quality, scalable Python code for machine learning and data engineering applications.
  • Develop reusable libraries for AI models and data processing workflows.
  • Collaborate with DevOps teams to ensure robust CI/CD pipelines and deploy production-ready solutions in cloud environments.
Collaboration and Leadership:
  • Mentor and guide junior engineers on best practices in data engineering and machine learning.
  • Collaborate with cross-functional teams, including data scientists, product managers, and business analysts.
  • Proactively contribute to strategic roadmaps for AI-powered business solutions.
Required Qualifications:
  • Azure Certified AI Practitioner (or equivalent Azure certification in AI and data engineering).
  • Demonstrable expertise in Python, with advanced knowledge of libraries such as Pandas, NumPy, PyTorch, TensorFlow, and LangChain.
  • Extensive experience designing and building Agentic solutions (e.g., autonomous agents capable of advanced decision-making and orchestration).
  • Hands-on experience with modeling and deploying LLMs (fine-tuning, prompt engineering, optimization).
  • Proficiency with Microsoft Azure ecosystem, including services like Azure Machine Learning, OpenAI Service, Cognitive Services, and Databricks.
  • Strong understanding of machine learning, natural language processing (NLP), and generative AI concepts.
  • Familiarity with best practices in data engineering, such as data modeling, schema design, ETL processes, and pipeline optimization.
Preferred Qualifications:
  • Advanced degree (Master’s or PhD) in Computer Science, Data Engineering, AI/ML, or a related field.
  • Experience with integrating LLMs into production environments for real-world applications (e.g., chatbots, document summarization, generative design).
  • Knowledge of distributed computing frameworks (e.g., Spark, Hadoop).
  • Familiarity with versioning tools (e.g., Git), containerization (e.g., Docker), and orchestration (e.g., Kubernetes).