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Virtual Assistant Engineer Jobs in New York (NOW HIRING)

Senior AI Engineer

Iselin, NJ · Hybrid

$106K - $145K/yr

The Senior AI Engineer is a technical leader with deep expertise in AI/ML, Generative AI, Large ... FAQ based virtual assistants. * Design and implement knowledge-based search using AI-driven ...

Responsibilities include configuring physical and virtual servers, troubleshooting server-related ... Resolve hardware and software issues during and after server integration and assist with server ...

... and virtual Microsoft Windows Desktops in addition to physical on-premises hosts; • Maintain ... • Assist in the maintenance of the Windows desktops, including patches and security updates ...

Desktop Design Engineer

Brooklyn, NY · On-site

$100K - $125K/yr

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... -Assist in the maintenance of the Windows desktops, including patches and security updates ...

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... - Assist in the maintenance of the Windows desktops, including patches and security updates ...

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... - Assist in the maintenance of the Windows desktops, including patches and security updates ...

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... - Assist in the maintenance of the Windows desktops, including patches and security updates ...

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... - Assist in the maintenance of the Windows desktops, including patches and security updates ...

Develop procedures for automating security tasks during build and deployment * Assist in design ... virtual Next Generation firewalls. * Three plus years of hands on experience working with cloud ...

Cloud Engineer

Ridgewood, NJ · On-site

$56.50 - $75.50/hr

Capacity Planning & RoadMapping • Assist in capacity planning and roadmap development for future ... Deep knowledge of networking fundamentals, physical and virtual system & storage infrastructure.

Showing results 21-40

Virtual Assistant Engineer information

What is the difference between Virtual Assistant Engineer vs Virtual Assistant?

AspectVirtual Assistant EngineerVirtual Assistant
Required CredentialsTechnical certifications, programming knowledgeBasic computer skills, communication skills
Work EnvironmentRemote, technical projects, client-specific tasksRemote, administrative, scheduling, customer support
Employer & Industry UsageTech companies, startups, IT service providersSmall businesses, entrepreneurs, online service providers
Common Search & Comparison IntentTechnical skills, engineering tasks, software developmentAdministrative support, scheduling, general assistance

The main difference between a Virtual Assistant Engineer and a Virtual Assistant lies in their skill sets and work focus. Virtual Assistant Engineers typically have technical certifications and work on software development or engineering projects, while Virtual Assistants handle administrative and support tasks. Both roles are remote and serve different industry needs, with the Engineer role requiring more technical expertise.

How does a virtual assistant engineer typically collaborate with cross-functional teams to improve virtual assistant performance?

Virtual Assistant Engineers regularly work with product managers, UX designers, and data scientists to enhance the capabilities and user experience of virtual assistants. Collaboration often involves participating in sprint meetings, sharing data insights, and integrating user feedback into system improvements. This teamwork ensures the virtual assistant remains accurate, responsive, and aligned with evolving business needs. Effective communication and openness to iterative feedback are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a virtual assistant engineer, and why are they important?

To thrive as a Virtual Assistant Engineer, you need strong programming skills (often in Python, Java, or C#), experience with AI and NLP technologies, and a degree in computer science or a related field. Familiarity with platforms like Amazon Alexa, Google Assistant, dialog management systems, and cloud-based development environments is typically required. Excellent problem-solving, communication, and teamwork abilities help you collaborate effectively and design user-friendly voice or chat interfaces. These skills ensure you can build, deploy, and refine intelligent virtual assistants that enhance user experiences and meet business objectives.

What is a virtual assistant engineer?

Virtual Assistant Engineers are professionals who design, develop, and maintain virtual assistant technologies, such as chatbots and voice-activated AI systems. They work with artificial intelligence, natural language processing, and machine learning tools to create digital assistants that understand and respond to user input. Their responsibilities may include coding backend logic, integrating APIs, and continually improving the assistant's performance based on user interactions. Virtual Assistant Engineers often collaborate with UX designers, data scientists, and product managers to deliver seamless user experiences.
What cities in New York are hiring for Virtual Assistant Engineer jobs? Cities in New York with the most Virtual Assistant Engineer job openings:

AI Engineer - GenAI / Agentic Systems - Financial Services - Infosys Consulting

Infosys Limited Digital

Basking Ridge, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Job details
Job Role
Senior Associate - Business Consulting
Work Location
Basking Ridge, NJ, Charlotte, NC, Dallas, TX, New York, NY
State / Region / Province
New Jersey, New York, North Carolina, Texas
Country
USA
Skills
Process|Consulting processes|Technology Consulting process
Domain
Consulting
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
150784BR
Salary min
116875
Salary max
148125
Senior Consultant - Banking and Capital Markets - GenAI / Agentic Systems, Infosys Consulting
The Role - What You'll Do
We are seeking a hands-on Financial Services Consultant with AI experience to design, build, and scale GenAI-powered solutions for banking and financial services. The role focuses on understanding business pain points, define solution leveraging AI techniques, with experience in LLM application development, agent orchestration, and data-driven AI pipelines to be developed for specific financial services use cases.
Here are some AI engagements our consultants are working on :
  • Improve Day in life of Wealth Advisor leveraging AI interventions such as - Client Profiling, Client Advisor Mapping, Meeting summarization, Next Best Action.
  • Reduce false positives in Trade / AML Surveillance to ensure Compliance personnel are focusing their time on critical alerts.
  • Faster onboarding of clients leveraging AI driven KYC processes - Negative News screening, Beneficial Ownership determination, Document information extraction and validation.
  • Improve Operational processes leveraging AI / Gen AI - Corporate Actions, Reconciliations, Predict Settlement failures, etc
  • Digitalization of Advisory Platforms covering end to end Advisory lifecycle from Prospecting to Portfolio Management
  • Machine Learning driven personalization - life events, investment ideas, service alerts and assessment of client attrition risk
  • Virtual Assistant - Cognitive Assistant Pilot (CAP) to guide Financial Advisors and Customer Support Associates in Salesforce.
  • Comprehensive portal to do a "Best Match" and find a Financial Advisor (Individual or Teams) by name, nearby location, gender and International Wealth FAs and teams

Key Responsibilities
  • Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / lead solution design. E.g. Understand Day in life of an Advisor, identify critical manual flows and define potential solutions
  • Act as a Product Manager / Product Owner and work closely with architects, business SMEs, to develop business requirements and AI solutions
  • Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.) to solve business problems such as Improving Advisor productivity, Operations efficiency in areas such as Corporate Actions, Portfolio Mgmt., AML / KYC processes.
  • Build agent-based workflows using frameworks such as LangChain / Google ADK / similar
  • Develop RAG pipelines, semantic search, and knowledge-driven applications
  • Implement prompt engineering, evaluation frameworks, and guardrails
  • Perform testing, validation, of final solution to ensure conformity to business problems and optimization of AI models and pipelines
  • Coordinate with business and technology stakeholders for program delivery
Required Skills
  • Experience in financial services industry (Capital markets / Banking) and familiarity with Front office / Middle office / Back office operations or processes
  • Understanding of the end to end value chain (wealth management, asset management, investment banking, etc.)
  • Experience with defining AI related KPIs and building AI adoption business case
  • Experience in Python-based AI/ML development
  • Understanding of:
    • LLMs and GenAI architectures
    • Prompt engineering and chaining techniques
    • Data processing and pipelines
  • Understanding of Graph RAG and hands-on with one or more:
    • LangChain / similar frameworks
    • Claude / OpenAI / other LLM APIs
  • Working knowledge of:
    • Vector databases, embeddings, semantic search
    • API integrations and microservices
Basic Qualifications
  • Bachelor's degree or equivalent required
  • Prior work experience of 5-8 years either in management consulting or directly working on advisory business, technology or operational change initiatives in Financial Services industry.
  • Strong problem-solving mindset
  • Ability to work in fast-paced AI delivery pods
  • Ability to travel up to 75%.
  • Location - Dallas, Charlotte, NJ/NY
  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply. Infosys will not sponsor H-1B or other work authorization for this role at this time.
Preferred Qualifications / Skills
  • Exposure to Google ADK / agentic frameworks
  • Experience with knowledge graphs and graph-based retrieval
  • Understanding of banking / financial services domain
  • Familiarity with cloud platforms (Azure / AWS / GCP)
  • Data engineering basics (SQL, schema, profiling)
  • Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary
  • Candidates should be able to ramp up quickly with minimal support, take full ownership of assigned tasks, and consistently deliver against timelines and commitments.
    Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale.
Infosys Consulting is helping some of the world's most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today's digital landscape to win market share and create shareholder value for lasting competitive advantage.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.