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Senior Python Ai information

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Senior Python AI developers are essential for designing, implementing, and maintaining complex AI systems. Human expertise remains crucial for problem-solving, creativity, and overseeing AI development processes. AI is more likely to augment Python programmers' work than fully replace them.

Which 3 jobs will survive AI?

Senior Python AI roles are likely to persist because they involve complex problem-solving, creativity, and oversight of AI systems. Jobs that require advanced technical skills, such as data scientists, AI engineers, and machine learning specialists, are expected to remain in demand due to their specialized knowledge and continuous learning requirements.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers or machine learning executives, often involving advanced skills in Python, deep learning, and data science. These positions usually require extensive experience, leadership abilities, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and generally found in large tech companies or AI-focused organizations with significant responsibilities.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, deep learning, and frameworks like TensorFlow or PyTorch tend to command higher salaries.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

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

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What are the most commonly searched types of Python Ai jobs in Florida? The most popular types of Python Ai jobs in Florida are:
What are popular job titles related to Senior Python Ai jobs in Florida? For Senior Python Ai jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Python Ai jobs in Florida look for? The top searched job categories for Senior Python Ai jobs in Florida are:
What cities in Florida are hiring for Senior Python Ai jobs? Cities in Florida with the most Senior Python Ai job openings:
Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Florida as of June 2026, with employment types broken down into 2% As Needed, 55% Full Time, 38% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Senior AI Platform Engineer

SS&C Technologies Holdings

Jacksonville, FL

$96K - $133K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Senior AI Platform Engineer

Locations: San Francisco, CA / Jacksonville, FL / Boston, MA / New York, NY (Hybrid)

SS&C Advent's financial solutions are going Agentic! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe.

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform.

We are looking for Senior AI Platform Engineers to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
  • Your Future: 401 (k) Matching Program, Professional Development Reimbursement
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
  • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Discounts on fitness clubs, travel, and more!

What You Will Get to Do

  • Design and build a scalable Agentic AI framework on top of our data platform.
  • Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
  • Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
  • Build APIs, SDKs, and tooling to enable other teams to use the framework.
  • Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
  • Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
  • Mentor other engineers and contribute to AI engineering best practices.

What You Will Bring

Core Skills (Must-Have)

  • Strong programming skills in Python with 5+ years of experience
  • Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).
  • Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).
  • Hands-on experience with API design & integration (REST, GraphQL, gRPC).
  • Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).
  • Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
  • Track record of building production-grade AI/data platforms.

Desired Skills (Nice-to-Have)

  • Experience in Information Security.
  • Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).
  • Familiarity with event-driven architectures (Kafka, Pulsar).
  • Understanding of retrieval-augmented generation (RAG) patterns.
  • Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).
  • Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).
  • Experience in enterprise AI governance (audit, lineage, compliance).
  • Contributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website.

Apply