824 Ai Solutions Developer Java Python jobs in New York,NY

Principal Engineer - Python API Development

Fidelity Investments

Hoboken, NJ 07030

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 17 hours ago

Apply Directly

Enterprise Account Manager, NYC

Spectrum

New York, NY 10010

Urgently Hiring

Two or more years of B2B sales experience as a proven sales performer
High school diploma or equivalent
Knowledge of computer networking, internet solutions and fiber connected networks
Relationship-building, negotiation, closing and English communication skills
Quick learner with the ability to manage change and shifting priorities
Travel to and from assigned territories and company facilities
Valid driver's license
**This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.**

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 1 day ago

Apply Directly

Senior Vice President, Infrastructure Engineer

BNY

Jersey City, NJ 07306

Urgently Hiring

New, Posted 1 hour ago

Recommended

Apply Directly

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10001

Apply Directly

Account Executive, Business Team Sales - Brooklyn/Queens

T-Mobile

New York, NY 10036

OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma/GED (Required)
1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment. (Preferred)
Outside B2B sales experience. (Preferred)
Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking. (Required)
Customer Service Demonstrated experience delivering superior customer service and attention to detail. (Required)
Communication Excellent interpersonal, written, and oral communication skills. (Required)
Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
At least 18 years of age
Legally authorized to work in the United States

SmartExplore AI is experimental.

New, Posted 17 hours ago

Apply Directly

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

Apply Directly

Account Executive, Business Team Sales - Long Island, Queens, Brooklyn

T-Mobile

New York, NY 10279

OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma/GED (Required)
1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment. (Preferred)
Outside B2B sales experience. (Preferred)
Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking. (Required)
Customer Service Demonstrated experience delivering superior customer service and attention to detail. (Required)
Communication Excellent interpersonal, written, and oral communication skills. (Required)
Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
At least 18 years of age
Legally authorized to work in the United States

SmartExplore AI is experimental.

New, Posted 1 day ago

Apply Directly

Senior Vice President, Product Manager - Document Custody&eCustody Solutions

BNY

New York, NY 10007

Onsite

8-10+ years of experience in Product Management, Financial Technology, Corporate Trust, Document Custody, eCustody, or related domains, with deep expertise in document custody operations, eVault platforms, electronic custody, and document lifecycle management.
Bachelor's degree in business management, Finance or a related discipline, or equivalent work experience required.
Proven track record of building, launching, commercializing, and scaling client-facing eVault and digital custody solutions, including product strategy, go-to-market execution, client onboarding, adoption, and revenue growth.
Demonstrated experience delivering eVault and digital custody platforms for mortgage, auto loan, and other consumer lending asset classes, with strong knowledge of digital collateral ecosystems, eNotes, eVault interoperability, MISMO standards, and related industry frameworks.
Success translating strategy into product roadmaps and delivering complex products at scale using Agile methodologies, strong prioritization, and cross-functional leadership.
Experience partnering with Engineering, Operations, Risk, Compliance, Sales, and Client Management teams to deliver enterprise-grade solutions, coupled with strong leadership, communication, influencing, and executive presentation skills.

SmartExplore AI is experimental.

Recommended

Apply Directly