Integration Architect

OLI•Parsippany, NJ

5d•Onsite

About The Position

OLI, a leader in software development for complex chemical phenomena, is seeking an Integration Architect. This role involves collaborating with OLI experts to design and deliver solutions for operations and maintenance focused on asset performance and protective monitoring. Key responsibilities include creating API and Cloud App solutions, exploring new applications for OLI tools, managing large datasets, and problem-solving with peers. The ideal candidate will have a bachelor's degree in engineering or chemistry, at least 4 years of relevant experience, Python programming knowledge, and familiarity with Digital Transformation (DX) initiatives. Prior experience in industrial environments is a significant advantage. This position reports to a manager and requires strong communication and problem-solving abilities.

Requirements

Bachelor’s degree in engineering, chemistry, or a related field
At least 4 years of experience in a similar role
Knowledge of Python programming
Familiarity with DX initiatives
Deep understanding of industrial/process data: where it lives, what it looks like, why it's messy
Ability to read and interpret simulation inputs/outputs
Pattern recognition across customer use cases: can write a clear spec
Enough API literacy to run a call, read a response, and say "this is right" or "this is wrong"
Strong documentation and communication skills: their output IS the spec
Fluent OLI API is entirely JSON in/out
Python Intermediate Prototyping, validation, notebook-level
SQL Solid Source data lives in databases
REST API concepts Solid Auth, endpoints, request/response patterns
Data mapping Strong Translating customer data to simulation inputs
Excel/data tools Functional Customers will hand them spreadsheets
Excellent problem-solving skills and ability to collaborate with peers and experts
Proven ability to manage multiple projects and priorities in a client-facing environment
Strong communication skills, both written and verbal, with the ability to influence technical and non-technical stakeholders

Nice To Haves

Spent time in industrial environments (“in the plant”) where these solutions are deployed
Experience in a solutions/presales engineer or technical consultant role
Has worked between customers and a product/engineering team before (the translator role)
Understands data mapping — taking a customer's CSV and knowing what it needs to become
Ability to translate complex technical findings into clear, repeatable automation solutions
Demonstrated experience interacting with API/SaaS/Cloud offerings
Familiarity with DX initiatives including APIs, IoT, IIoT, Edge, AI, ML, etc.

Responsibilities

Collaborate with Client Solution Architects and Consulting Engineers to conduct detailed pre/post-sales meetings on Digital Transformation (DX) components.
Vet solution requests and determine solution value for operations and maintenance centered on asset performance.
Determine user requirements and propose initial designs for DX/operations type solutions.
Design and deliver solutions with the AE team for simulation builds.
Work with company experts (AE/TPM/Support) to provide general engineering support to DX missions.
Create API and Cloud App solutions around asset performance, chemistry challenges, scaling, and corrosion.
Explore new ways to use the OLI tools to further customer DX initiatives including APIs, IoT, AI, ML, etc.
Collaborate with the AE team for simulation builds.
Provide broad support for simulation solutions provided by the AE team with automation by DX.
Stay educated on current technologies and upcoming trends involving industrial automation and DX.
Knowledge and understanding of working with large data sets and how to manage them in a solution.
Spot data integrity issues; able to visualize data in meaningful ways; high-performance graphics.
Discover and solve problems and implement solutions using personal expertise in collaboration with peer team experts.
Establish a testing program/process with OLI teams for automated solutions.
Recommends processes, skills, and other mechanisms to improve policies and procedures.
Raises issues to Team Lead as appropriate to address quality/scope/schedule.